Copyright © 2010-2018 W3C® (MIT, ERCIM, Keio, Beihang). W3C liability, trademark and permissive document license rules apply.
JSON is a useful data serialization and messaging format. This specification defines JSON-LD, a JSON-based format to serialize Linked Data. The syntax is designed to easily integrate into deployed systems that already use JSON, and provides a smooth upgrade path from JSON to JSON-LD. It is primarily intended to be a way to use Linked Data in Web-based programming environments, to build interoperable Web services, and to store Linked Data in JSON-based storage engines.
This section describes the status of this document at the time of its publication. Other documents may supersede this document. A list of current W3C publications and the latest revision of this technical report can be found in the W3C technical reports index at https://www.w3.org/TR/.
This document has been developed by the JSON-LD Working Group and was derived from the JSON-LD Community Group's Final Report.
There is a live JSON-LD playground that is capable of demonstrating the features described in this document.
This document was published by the JSON-LD Working Group as a Working Draft. This document is intended to become a W3C Recommendation.
GitHub Issues are preferred for discussion of this specification. Alternatively, you can send comments to our mailing list. Please send them to public-json-ld-wg@w3.org (archives).
Publication as a Working Draft does not imply endorsement by the W3C Membership. This is a draft document and may be updated, replaced or obsoleted by other documents at any time. It is inappropriate to cite this document as other than work in progress.
This document was produced by a group operating under the W3C Patent Policy. W3C maintains a public list of any patent disclosures made in connection with the deliverables of the group; that page also includes instructions for disclosing a patent. An individual who has actual knowledge of a patent which the individual believes contains Essential Claim(s) must disclose the information in accordance with section 6 of the W3C Patent Policy.
This document is governed by the 1 February 2018 W3C Process Document.
This document is one of three JSON-LD 1.1 Recommendations produced by the JSON-LD Working Group:
This section is non-normative.
Linked Data [LINKED-DATA] is a way to create a network of standards-based machine interpretable data across different documents and Web sites. It allows an application to start at one piece of Linked Data, and follow embedded links to other pieces of Linked Data that are hosted on different sites across the Web.
JSON-LD is a lightweight syntax to serialize Linked Data in JSON [RFC8259]. Its design allows existing JSON to be interpreted as Linked Data with minimal changes. JSON-LD is primarily intended to be a way to use Linked Data in Web-based programming environments, to build interoperable Web services, and to store Linked Data in JSON-based storage engines. Since JSON-LD is 100% compatible with JSON, the large number of JSON parsers and libraries available today can be reused. In addition to all the features JSON provides, JSON-LD introduces:
JSON-LD is designed to be usable directly as JSON, with no knowledge of RDF [RDF11-CONCEPTS]. It is also designed to be usable as RDF, if desired, for use with other Linked Data technologies like SPARQL. Developers who require any of the facilities listed above or need to serialize an RDF Graph or Dataset in a JSON-based syntax will find JSON-LD of interest. People intending to use JSON-LD with RDF tools will find it can be used as another RDF syntax, as with [Turtle] and [TriG]. Complete details of how JSON-LD relates to RDF are in section 10. Relationship to RDF.
The syntax is designed to not disturb already deployed systems running on JSON, but provide a smooth upgrade path from JSON to JSON-LD. Since the shape of such data varies wildly, JSON-LD features mechanisms to reshape documents into a deterministic structure which simplifies their processing.
This section is non-normative.
This document is a detailed specification for a serialization of Linked Data in JSON. The document is primarily intended for the following audiences:
A companion document, the JSON-LD 1.1 Processing Algorithms and API specification [JSON-LD11-API], specifies how to work with JSON-LD at a higher level by providing a standard library interface for common JSON-LD operations.
To understand the basics in this specification you must first be familiar with JSON, which is detailed in [RFC8259].
This document almost exclusively uses the term IRI (Internationalized Resource Indicator) when discussing hyperlinks. Many Web developers are more familiar with the URL (Uniform Resource Locator) terminology. The document also uses, albeit rarely, the URI (Uniform Resource Indicator) terminology. While these terms are often used interchangeably among technical communities, they do have important distinctions from one another and the specification goes to great lengths to try and use the proper terminology at all times.
This section is non-normative.
There are a number of ways that one may participate in the development of this specification:
This section is non-normative.
The following typographic conventions are used in this specification:
markupmarkup definition reference markup external definition referenceNotes are in light green boxes with a green left border and with a "Note" header in green. Notes are always informative.
This document uses the following terms as defined in JSON [RFC8259]. Refer to the JSON Grammar section in [RFC8259] for formal definitions.
@context where
    the value, or the @id of the value, is null
    explicitly decouples a term's association with an IRI. A dictionary member in
    the body of a JSON-LD document whose value is null has the
    same meaning as if the dictionary member was not defined. If
    @value, @list, or @set is set to
    null in expanded form, then the entire JSON
    object is ignored.Furthermore, the following terminology is used throughout this document:
_:._:.@language key whose
    value MUST be a string representing a [BCP47] language code or null.@graph member, and may also have
    @id, and @index members.
    A simple graph object is a
    graph object which does not have an @id member. Note
    that node objects may have a @graph member, but are
    not considered graph objects if they include any other members.
    A top-level object consisting of @graph is also not a graph object.@container set to @id, whose keys are
    interpreted as IRIs representing the @id
    of the associated node object; value MUST be a node object.
    If the value contains a key expanding to @id, it's value MUST
    be equivalent to the referencing key.@container is set to  @graph.@container set to @index, whose values MUST be any of the following types:
    string,
    number,
    true,
    false,
    null,
    node object,
    value object,
    list object,
    set object, or
    an array of zero or more of the above possibilities.
  @container set to @language, whose keys MUST be strings representing
    [BCP47] language codes and the values MUST be any of the following types:
      null,
      string, or
      an array of zero or more of the above possibilities.
    @list
    key.@context keyword.@value, @list,
        or @set keywords, or@graph and @context.@version member in a
    context, or via explicit API option, other processing modes
    can be accessed. This specification defines extensions for the
    json-ld-1.1 processing mode.@type, and values of terms defined to be vocabulary relative
    are resolved relative to the vocabulary mapping, not the base IRI.@set member.@container set to @type, whose keys are
    interpreted as IRIs representing the @type
    of the associated node object;
    value MUST be a node object, or array of node objects.
    If the value contains a term expanding to @type, it's values
    are merged with the map value when expanding.@value member.@vocab key whose
    value MUST be an absolute IRI or null.This section is non-normative.
JSON-LD satisfies the following design goals:
@context
     and @id) to use the basic functionality in JSON-LD.This section is non-normative.
Generally speaking, the data model described by a JSON-LD document is a labeled, directed graph. The graph contains nodes, which are connected by edges. A node is typically data such as a string, number, typed values (like dates and times) or an IRI.
Within a directed graph, nodes with may be unnamed, i.e., not identified by an IRI or representing data such as strings or numbers. Such nodes are called blank nodes, and may be identified using a blank node identifier. These identifiers may be required to represent a fully connected graph using a tree structure, such as JSON, but otherwise have no intrinsic meaning.
This simple data model is incredibly flexible and powerful, capable of modeling almost any kind of data. For a deeper explanation of the data model, see section 8. Data Model.
Developers who are familiar with Linked Data technologies will recognize the data model as the RDF Data Model. To dive deeper into how JSON-LD and RDF are related, see section 10. Relationship to RDF.
At the surface level, a JSON-LD document is simply JSON, detailed in [RFC8259]. For the purpose of describing the core data structures, this is limited to arrays, dictionaries (the parsed version of a JSON Object), strings, numbers, booleans, and null, called the JSON-LD internal representation. This allows surface syntaxes other than JSON to be manipulated using the same algorithms, when the syntax maps to equivalent core data structures.
Although not discussed in this specification, parallel work using YAML [YAML] and binary representations such as CBOR [RFC7049] could be used to map into the internal representation, allowing the JSON-LD 1.1 API [JSON-LD11-API] to operate as if the source was a JSON document.
JSON-LD specifies a number of syntax tokens and keywords that are a core part of the language:
:@base@container@context@context keyword is described in detail in
        section 3.1 The Context.@graph@id@index@language@list@nest@none@prefix@reverse@set@type@value@versionjson-ld-1.1.
      @vocab@type with a common prefix
        IRI. This keyword is described in section 4.1.2 Default Vocabulary.All keys, keywords, and values in JSON-LD are case-sensitive.
As well as sections marked as non-normative, all authoring guidelines, diagrams, examples, and notes in this specification are non-normative. Everything else in this specification is normative.
The key words MAY, MUST, MUST NOT, RECOMMENDED, SHOULD, and SHOULD NOT are to be interpreted as described in [RFC2119].
Conformance criteria are relevant to authors and authoring tool implementers. As well as sections marked as non-normative, all authoring guidelines, diagrams, examples, and notes in this specification are non-normative. Everything else in this specification is normative.
A JSON-LD document complies with this specification if it follows the normative statements in appendix 9. JSON-LD Grammar. JSON documents can be interpreted as JSON-LD by following the normative statements in section 6. Interpreting JSON as JSON-LD. For convenience, normative statements for documents are often phrased as statements on the properties of the document.
This specification makes use of the following namespace prefixes:
| Prefix | IRI | 
|---|---|
| dc | http://purl.org/dc/terms/ | 
| cred | https://w3id.org/credentials# | 
| foaf | http://xmlns.com/foaf/0.1/ | 
| geojson | https://purl.org/geojson/vocab# | 
| prov | http://www.w3.org/ns/prov# | 
| rdf | http://www.w3.org/1999/02/22-rdf-syntax-ns# | 
| schema | http://schema.org/ | 
| skos | http://www.w3.org/2004/02/skos/core# | 
| xsd | http://www.w3.org/2001/XMLSchema# | 
These are used within this document as part of a compact IRI
    as a shorthand for the resulting absolute IRI, such as dc:title
    used to represent http://purl.org/dc/terms/title.
This section is non-normative.
JSON [RFC8259] is a lightweight, language-independent data interchange format. It is easy to parse and easy to generate. However, it is difficult to integrate JSON from different sources as the data may contain keys that conflict with other data sources. Furthermore, JSON has no built-in support for hyperlinks, which are a fundamental building block on the Web. Let's start by looking at an example that we will be using for the rest of this section:
{
  "name": "Manu Sporny",
  "homepage": "http://manu.sporny.org/",
  "image": "http://manu.sporny.org/images/manu.png"
}
        It's obvious to humans that the data is about a person whose
    name is "Manu Sporny"
    and that the homepage property contains the URL of that person's homepage.
    A machine doesn't have such an intuitive understanding and sometimes,
    even for humans, it is difficult to resolve ambiguities in such representations. This problem
    can be solved by using unambiguous identifiers to denote the different concepts instead of
    tokens such as "name", "homepage", etc.
Linked Data, and the Web in general, uses IRIs
    (Internationalized Resource Identifiers as described in [RFC3987]) for unambiguous
    identification. The idea is to use IRIs
    to assign unambiguous identifiers to data that may be of use to other developers.
    It is useful for terms,
    like name and homepage, to expand to IRIs
    so that developers don't accidentally step on each other's terms. Furthermore, developers and
    machines are able to use this IRI (by using a web browser, for instance) to go to
    the term and get a definition of what the term means. This process is known as IRI
    dereferencing.
Leveraging the popular schema.org vocabulary, the example above could be unambiguously expressed as follows:
In the example above, every property is unambiguously identified by an IRI and all values
    representing IRIs are explicitly marked as such by the
    @id keyword. While this is a valid JSON-LD
    document that is very specific about its data, the document is also overly verbose and difficult
    to work with for human developers. To address this issue, JSON-LD introduces the notion
    of a context as described in the next section.
This section is non-normative.
When two people communicate with one another, the conversation takes place in a shared environment, typically called "the context of the conversation". This shared context allows the individuals to use shortcut terms, like the first name of a mutual friend, to communicate more quickly but without losing accuracy. A context in JSON-LD works in the same way. It allows two applications to use shortcut terms to communicate with one another more efficiently, but without losing accuracy.
Simply speaking, a context is used to map terms to IRIs. Terms are case sensitive and any valid string that is not a reserved JSON-LD keyword can be used as a term.
For the sample document in the previous section, a context would look something like this:
{
  "@context": {
    "name": "http://schema.org/name",  ← This means that 'name' is shorthand for 'http://schema.org/name' 
    "image": {
      "@id": "http://schema.org/image",  ← This means that 'image' is shorthand for 'http://schema.org/image' 
      "@type": "@id"  ← This means that a string value associated with 'image' should be interpreted as an identifier that is an IRI 
    },
    "homepage": {
      "@id": "http://schema.org/url",  ← This means that 'homepage' is shorthand for 'http://schema.org/url' 
      "@type": "@id"  ← This means that a string value associated with 'homepage' should be interpreted as an identifier that is an IRI 
    }
  }
}
        As the context above shows, the value of a term definition can either be a simple string, mapping the term to an IRI, or a dictionary.
When a when a member with a term key has a dictionary value, the dictionary is called
      an expanded term definition. The example above specifies that
      the values of image and homepage, if they are
      strings, are to be interpreted as
      IRIs. Expanded term definitions
      also allow terms to be used for index maps
      and to specify whether array values are to be
      interpreted as sets or lists.
      Expanded term definitions may
      be defined using absolute or
      compact IRIs as keys, which is
      mainly used to associate type or language information with an
      absolute or compact IRI.
Contexts can either be directly embedded
      into the document or be referenced. Assuming the context document in the previous
      example can be retrieved at https://json-ld.org/contexts/person.jsonld,
      it can be referenced by adding a single line and allows a JSON-LD document to
      be expressed much more concisely as shown in the example below:
The referenced context not only specifies how the terms map to
      IRIs in the Schema.org vocabulary but also
      specifies that string values associated with
      the homepage and image property
      can be interpreted as an IRI ("@type": "@id",
      see section 3.2 IRIs for more details). This information allows developers
      to re-use each other's data without having to agree to how their data will interoperate
      on a site-by-site basis. External JSON-LD context documents may contain extra
      information located outside of the @context key, such as
      documentation about the terms declared in the
      document. Information contained outside of the @context value
      is ignored when the document is used as an external JSON-LD context document.
JSON documents can be interpreted as JSON-LD without having to be modified by referencing a context via an HTTP Link Header as described in section 6. Interpreting JSON as JSON-LD. It is also possible to apply a custom context using the JSON-LD 1.1 API [JSON-LD11-API].
In JSON-LD documents, contexts may also be specified inline. This has the advantage that documents can be processed even in the absence of a connection to the Web. Ultimately, this is a modeling decision and different use cases may require different handling.
This section only covers the most basic features of the JSON-LD Context. The Context can also be used to help interpret other more complex JSON data structures, such as indexed values, ordered values, and nested properties. More advanced features related to the JSON-LD Context are covered in section section 4. Advanced Concepts.
This section is non-normative.
IRIs (Internationalized Resource Identifiers [RFC3987]) are fundamental to Linked Data as that is how most nodes and properties are identified. In JSON-LD, IRIs may be represented as an absolute IRI or a relative IRI. An absolute IRI is defined in [RFC3987] as containing a scheme along with path and optional query and fragment segments. A relative IRI is an IRI that is relative to some other absolute IRI. In JSON-LD, with exceptions are as described below, all relative IRIs are resolved relative to the base IRI.
Properties, values of @type,
    and values of properties with a term definition
    that defines them as being relative to the vocabulary mapping,
    may have the form of a relative IRI, but are resolved using the
    vocabulary mapping, and not the base IRI.
A string is interpreted as an IRI when it is the
    value of an dictionary member with the key@id:
{
  ...
  "homepage": { "@id": "http://example.com/" }
  ...
}
        Values that are interpreted as IRIs, can also be
    expressed as relative IRIs. For example,
    assuming that the following document is located at
    http://example.com/about/, the relative IRI
    ../ would expand to http://example.com/ (for more
    information on where  relative IRIs can be
    used, please refer to section 9. JSON-LD Grammar).
{
  ...
  "homepage": { "@id": "../" }
  ...
}
        Absolute IRIs can be expressed directly in the key position like so:
{
  ...
  "http://schema.org/name": "Manu Sporny",
  ...
}
        In the example above, the key http://schema.org/name
    is interpreted as an absolute IRI.
Term-to-IRI expansion occurs if the key matches a term defined within the active context:
JSON keys that do not expand to an IRI, such as status
    in the example above, are not Linked Data and thus ignored when processed.
If type coercion rules are specified in the @context for
    a particular term or property IRI, an IRI is generated:
In the example above, since the value http://manu.sporny.org/
    is expressed as a JSON string, the type coercion
    rules will transform the value into an IRI when processing the data.
    See section 4.2.2 Type Coercion for more
    details about this feature.
In summary, IRIs can be expressed in a variety of different ways in JSON-LD:
@id or @type.@type key that is
      set to a value of @id or @vocab.This section only covers the most basic features associated with IRIs in JSON-LD. More advanced features related to IRIs are covered in section 4. Advanced Concepts.
This section is non-normative.
To be able to externally reference nodes in a graph, it is important that nodes have an identifier. IRIs are a fundamental concept of Linked Data, for nodes to be truly linked, dereferencing the identifier should result in a representation of that node. This may allow an application to retrieve further information about a node.
In JSON-LD, a node is identified using the @id
    keyword:
The example above contains a node object identified by the IRI
    http://me.markus-lanthaler.com/.
This section only covers the most basic features associated with node identifiers in JSON-LD. More advanced features related to node identifiers are covered in section 4. Advanced Concepts.
This section is non-normative.
In Linked Data, it is common to specify the type of a graph node;
    in many cases, this can be inferred based on the properties used within a
    given node object, or the property for which a node is a value. For
    example, in the schema.org vocabulary, the givenName
    property is associated with a Person. Therefore, one may reason that
    if a node object contains the property firstName, that the
    type is a Person; making this explicit with @type helps
    to clarify the association.
The type of a particular node can be specified using the @type
    keyword. In Linked Data, types are uniquely
    identified with an IRI.
A node can be assigned more than one type by using an array:
The value of an @type key may also be a term defined in the active context:
This section only covers the most basic features associated with
    types in JSON-LD. It is worth noting that the @type
    keyword is not only used to specify the type of a
    node but also to express typed values
    (as described in section 4.2.1 Typed Values) and to
    type coerce values (as described in
    section 4.2.2 Type Coercion). Specifically, @type
    cannot be used in a context to define a node's
    type. For a detailed description of the differences, please refer to
    section 4.2.1 Typed Values.
JSON-LD has a number of features that provide functionality above and beyond the core functionality described above. JSON can be used to express data using such structures, and the features described in this section can be used to interpret a variety of different JSON structures as Linked Data. A JSON-LD processor will make use of provided and embedded contexts to interpret property values in a number of different idiomatic ways.
One pattern in JSON is for the value of a property to be a string. Often times, this string actually represents some other typed value, for example an IRI, a date, or a string in some specific language. See section 4.2 Describing Values for details on how to describe such value typing.
In JSON, a property with an array value implies an implicit order; arrays in JSON-LD do not provide an ordering of the contained elements by default, unless defined using embedded structures or through a context definition. See section 4.3 Value Ordering for a further discussion.
Another JSON idiom often found in APIs is to use an intermediate object to represent the properties of an object; in JSON-LD these are refered to as nested properties and are described in section 4.4 Nested Properties.
Linked Data is all about describing the relationships between different resources. Sometimes these relationships are between resources defined in different documents described on the web, sometimes the resources are described within the same document.
In this case, a document residing at http://manu.sporny.org/about
      may contain the example above, and reference another document at
      http://greggkellogg.net/foaf which could include a similar
      representation.
A common idiom found in JSON usage is objects being specified as the value of other objects, called object embedding in JSON-LD; for example, a friend specified as an object value of a Person:
See section 4.5 Embedding details these relationships.
Another common idiom in JSON is to use an intermediate object to represent property values via indexing. JSON-LD allows data to be indexed in a number of different ways, as detailed in section 4.6 Indexed Values.
JSON-LD serializes directed graphs. That means that every property points from a node to another node or value. However, in some cases, it is desirable to serialize in the reverse direction, as detailed in section 4.7 Reverse Properties.
The following sections describe such advanced functionality in more detail.
This section is non-normative.
Section 3.1 The Context introduced the basics of what makes JSON-LD work. This section expands on the basic principles of the context and demonstrates how more advanced use cases can be achieved using JSON-LD.
In general, contexts may be used any time a dictionary is defined. The only time that one cannot express a context is as a direct child of another context definition (other than as part of an expanded term definition). For example, a JSON-LD document may use more than one context at different points in a document:
Duplicate context terms are overridden using a most-recently-defined-wins mechanism.
In the example above, the name term is overridden
    in the more deeply nested details structure. Note that this is
    rarely a good authoring practice and is typically used when working with
    legacy applications that depend on a specific structure of the
    dictionary. If a term is redefined within a
    context, all previous rules associated with the previous definition are
    removed. If a term is redefined to null,
    the term is effectively removed from the list of
    terms defined in the active context.
Multiple contexts may be combined using an array, which is processed
    in order. The set of contexts defined within a specific dictionary are
    referred to as local contexts. The
    active context refers to the accumulation of
    local contexts that are in scope at a
    specific point within the document. Setting a local context
    to null effectively resets the active context
    to an empty context, without term definitions, default language,
    or other things defined within previous contexts.
    The following example specifies an external context
    and then layers an embedded context on top of the external context:
When possible, the context definition should be put at the top of a JSON-LD document. This makes the document easier to read and might make streaming parsers more efficient. Documents that do not have the context at the top are still conformant JSON-LD.
To avoid forward-compatibility issues, terms
    starting with an @ character are to be avoided as they
    might be used as keyword in future versions
    of JSON-LD. Terms starting with an @ character that are not
    JSON-LD 1.1 keywords are treated as any other term, i.e.,
    they are ignored unless mapped to an IRI. Furthermore, the use of
    empty terms ("") is not allowed as
    not all programming languages are able to handle empty JSON keys.
This section is non-normative.
New features defined in JSON-LD 1.1 are available
    when the processing mode is set to json-ld-1.1.
    This may be set using the @version member in a context
    set to the value 1.1 as a number, or through an API option.
{
  "@context": {
    "@version": 1.1,
    ...
  },
  ...
}
        The first context encountered when processing a
    document which contains @version determines the processing mode,
    unless it is defined explicitly through an API option.
Setting the processing mode explicitly for JSON-LD 1.1 is necessary so that a JSON-LD 1.0 processor does not attempt to process a JSON-LD 1.1 document and silently produce different results.
This section is non-normative.
At times, all properties and types may come from the same vocabulary. JSON-LD's
    @vocab keyword allows an author to set a common prefix which
    is used as the vocabulary mapping and is used
    for all properties and types that do not match a term and are neither
    a compact IRI nor an absolute IRI (i.e., they do
    not contain a colon).
If @vocab is used but certain keys in an
    dictionary should not be expanded using
    the vocabulary IRI, a term can be explicitly set
    to null in the context. For instance, in the
    example below the databaseId member would not expand to an
    IRI causing the property to be dropped when expanding.
In some cases, vocabulary terms are defined directly within the document
      itself, rather than in an external vocabulary. Since
      json-ld-1.1, the vocabulary mapping in the active
      context can be set to the empty string "", which causes terms which
      are expanded relative to the vocabulary, such as the keys of node
      objects, to use the base IRI to create absolute
      IRIs.
{
  "@context": {
    "@version": 1.1,
    "@base": "http://example/document",
    "@vocab": ""
  },
  "@id": "http://example.org/places#BrewEats",
  "@type": "#Restaurant",
  "#name": "Brew Eats"
  ...
}
        If this document were located at http://example/document, it would expand as follows:
This section is non-normative.
JSON-LD allows IRIs
    to be specified in a relative form which is
    resolved against the document base according
    section 5.1 Establishing a Base URI
    of [RFC3986]. The base IRI may be explicitly set with a context
    using the @base keyword.
For example, if a JSON-LD document was retrieved from http://example.com/document.jsonld,
    relative IRIs would resolve against that IRI:
{
  "@context": {
    "label": "http://www.w3.org/2000/01/rdf-schema#label"
  },
  "@id": "",
  "label": "Just a simple document"
}
        This document uses an empty @id, which resolves to the document base.
    However, if the document is moved to a different location, the IRI would change.
    To prevent this without having to use an absolute IRI, a context
    may define an @base mapping, to overwrite the base IRI for the document.
Setting @base to null will prevent
    relative IRIs from being expanded to
    absolute IRIs.
Please note that the @base will be ignored if used in
    external contexts.
This section is non-normative.
A compact IRI is a way of expressing an IRI
    using a prefix and suffix separated by a colon (:).
    The prefix is a term taken from the
    active context and is a short string identifying a
    particular IRI in a JSON-LD document. For example, the
    prefix foaf may be used as a short hand for the
    Friend-of-a-Friend vocabulary, which is identified using the IRI
    http://xmlns.com/foaf/0.1/. A developer may append
    any of the FOAF vocabulary terms to the end of the prefix to specify a short-hand
    version of the absolute IRI for the vocabulary term. For example,
    foaf:name would be expanded to the IRI
    http://xmlns.com/foaf/0.1/name.
In the example above, foaf:name expands to the IRI
    http://xmlns.com/foaf/0.1/name and foaf:Person expands
    to http://xmlns.com/foaf/0.1/Person.
Prefixes are expanded when the form of the value
    is a compact IRI represented as a prefix:suffix
    combination, the prefix matches a term defined within the
    active context, and the suffix does not begin with two
    slashes (//). The compact IRI is expanded by
    concatenating the IRI mapped to the prefix to the (possibly empty)
    suffix. If the prefix is not defined in the active context,
    or the suffix begins with two slashes (such as in http://example.com),
    the value is interpreted as absolute IRI instead. If the prefix is an
    underscore (_), the value is interpreted as blank node identifier
    instead.
It's also possible to use compact IRIs within the context as shown in the following example:
In JSON-LD 1.0, terms may be chosen as compact IRI prefixes when
    compacting only if a simple term definition is used where the value ends with a
    URI gen-delim character (e.g, /,
    # and others, see [RFC3986]).
    The previous specification allows any term to be chosen as
      a compact IRI prefix, which led to a poor experience.
In JSON-LD 1.1, terms may be chosen as compact IRI prefixes
    when compacting only if
    a simple term definition is used where the value ends with a URI gen-delim character,
    or if their expanded term definition contains
    a @prefix member with the value true.
This represents a small change to the 1.0 algorithm to prevent IRIs that are not really intended to be used as prefixes from being used for creating compact IRIs.
When processing mode is set to json-ld-1.1, terms will be used as compact IRI prefixes
    when compacting only if their expanded term definition contains
    a @prefix member with the value true, or if it has a
    a simple term definition  where the value ends with a URI gen-delim character
    (e.g, /, # and others, see [RFC3986]).
In this case, the compact-iris term would not normally be usable as a prefix, both
    because it is defined with an expanded term definition, and because
    it's @id does not end in a
    gen-delim character. Adding
    "@prefix": true allows it to be used as the prefix portion of
    the compact IRI compact-iris:are-considered.
This section is non-normative.
Each of the JSON-LD keywords,
    except for @context, may be aliased to application-specific
    keywords. This feature allows legacy JSON content to be utilized
    by JSON-LD by re-using JSON keys that already exist in legacy documents.
    This feature also allows developers to design domain-specific implementations
    using only the JSON-LD context.
In the example above, the @id and @type
    keywords have been given the aliases
    url and a, respectively.
Other than for @type, properties of
    expanded term definitions where the term is a keyword are be ignored.
When processing mode is set to json-ld-1.1,
    @type may be used with an expanded term definition with @container set
    to @set; no other members may be set within such an expanded term definition.
    This is used by the Compaction algorithm to ensure that the values of @type (or an alias)
    are always represented in an array.
{
  "@context": {
    "@version": 1.1,
    "@type": {"@container": "@set"}
  },
  "@type": ["http:/example.org/type"]
}
        Since keywords cannot be redefined, they can also not be aliased to other keywords.
Aliased keywords may not be used within a context, itself.
This section is non-normative.
In general, normal IRI expansion rules apply
    anywhere an IRI is expected (see section 3.2 IRIs). Within
    a context definition, this can mean that terms defined
    within the context may also be used within that context as long as
    there are no circular dependencies. For example, it is common to use
    the xsd namespace when defining typed values:
{
  "@context": {
    "xsd": "http://www.w3.org/2001/XMLSchema#",
    "name": "http://xmlns.com/foaf/0.1/name",
    "age": {
      "@id": "http://xmlns.com/foaf/0.1/age",
      "@type": "xsd:integer"
    },
    "homepage": {
      "@id": "http://xmlns.com/foaf/0.1/homepage",
      "@type": "@id"
    }
  },
  ...
}
        In this example, the xsd term is defined
  and used as a prefix for the @type coercion
  of the age property.
Terms may also be used when defining the IRI of another term:
{
  "@context": {
    "foaf": "http://xmlns.com/foaf/0.1/",
    "xsd": "http://www.w3.org/2001/XMLSchema#",
    "name": "foaf:name",
    "age": {
      "@id": "foaf:age",
      "@type": "xsd:integer"
    },
    "homepage": {
      "@id": "foaf:homepage",
      "@type": "@id"
    }
  },
  ...
}
        Compact IRIs and IRIs may be used on the left-hand side of a term definition.
{
  "@context": {
    "foaf": "http://xmlns.com/foaf/0.1/",
    "xsd": "http://www.w3.org/2001/XMLSchema#",
    "name": "foaf:name",
    "foaf:age": {
      "@type": "xsd:integer"
    },
    "foaf:homepage": {
      "@type": "@id"
    }
  },
  ...
}
        
In this example, the compact IRI form is used in two different
ways.
In the first approach, foaf:age declares both the
IRI for the term (using short-form) as well as the
@type associated with the term. In the second
approach, only the @type associated with the term is
specified. The full IRI for
foaf:homepage is determined by looking up the foaf
prefix in the
context.
Absolute IRIs may also be used in the key position in a context:
{
  "@context": {
    "foaf": "http://xmlns.com/foaf/0.1/",
    "xsd": "http://www.w3.org/2001/XMLSchema#",
    "name": "foaf:name",
    "foaf:age": {
      "@id": "foaf:age",
      "@type": "xsd:integer"
    },
    "http://xmlns.com/foaf/0.1/homepage": {
      "@type": "@id"
    }
  },
  ...
}
        In order for the absolute IRI to match above, the absolute IRI
  needs to be used in the JSON-LD document. Also note that foaf:homepage
  will not use the { "@type": "@id" } declaration because
  foaf:homepage is not the same as http://xmlns.com/foaf/0.1/homepage.
  That is, terms are looked up in a context using
  direct string comparison before the prefix lookup mechanism is applied.
While it is possible to define a compact IRI, or
  an absolute IRI to expand to some other unrelated IRI
  (for example, foaf:name expanding to
  http://example.org/unrelated#species), such usage is strongly
  discouraged.
The only exception for using terms in the context is that circular definitions are not allowed. That is, a definition of term1 cannot depend on the definition of term2 if term2 also depends on term1. For example, the following context definition is illegal:
{
  "@context": {
    "term1": "term2:foo",
    "term2": "term1:bar"
  },
  ...
}
        This section is non-normative.
An expanded term definition can include a @context
    property, which defines a context (an embedded context) for values of properties defined using that term. This allows
    values to use term definitions, base IRI,
    vocabulary mapping or default language which is different from the
    node object they are contained in, as if the
    context was specified within the value itself.
In this case, the social profile is defined using the schema.org vocabulary, but interest is imported from FOAF, and is used to define a node describing one of Manu's interests where those properties now come from the FOAF vocabulary.
Expanding this document, uses a combination of terms defined in the outer context, and those defined specifically for that term in an embedded context.
Scoping can also be performed using a term used as a value of @type:
Scoping on @type is useful when common properties are used to
    relate things of different types, where the vocabularies in use within
    different entities calls for different context scoping. For example,
    hasPart/partOf may be common terms used in a document, but mean
    different things depending on the context.
When expanding, each value of @type is considered
    (ordering them lexographically) where that value is also a term in
    the active context having its own embedded context. If so, that
    embedded context is applied to the active context. When compacting, if
    a term is chosen to represent an IRI used as a value of @type where that
    term definition also has an embedded context, it is then applied to the
    active context to affect further compaction.
The values of @type are unordered, so if multiple
    types are listed, the order that scoped contexts are applied is based on
    lexicographical ordering.
If a term defines a scoped context, and then that term is later re-defined, the association of the context defined in the earlier expanded term definition is lost within the scope of that re-definition. This is consistent with term definitions of a term overriding previous term definitions from earlier less deeply nested definitions, as discussed in section 4.1 Advanced Context Usage.
Scoped Contexts are a new feature in JSON-LD 1.1, requiring
    processing mode set to json-ld-1.1.
This section is non-normative.
Values are leaf nodes in a graph associated with scalar values such as strings, dates, times, and other such atomic values.
This section is non-normative.
A value with an associated type, also known as a typed value, is indicated by associating a value with an IRI which indicates the value's type. Typed values may be expressed in JSON-LD in three ways:
@type keyword when defining
    a term within an @context section.The first example uses the @type keyword to associate a
type with a particular term in the @context:
The modified key's value above is automatically type coerced to a
  dateTime value because of the information specified in the
  @context. The example tabs show how a JSON-LD processor will interpret the data.
The second example uses the expanded form of setting the type information in the body of a JSON-LD document:
Both examples above would generate the value
  2010-05-29T14:17:39+02:00 with the type
  http://www.w3.org/2001/XMLSchema#dateTime. Note that it is
  also possible to use a term or a compact IRI to
  express the value of a type.
The @type keyword is also used to associate a type
  with a node. The concept of a node type and
  a value type are different.
A node type specifies the type of thing that is being described, like a person, place, event, or web page. A value type specifies the data type of a particular value, such as an integer, a floating point number, or a date.
{
  ...
  "@id": "http://example.org/posts#TripToWestVirginia",
  "@type": "http://schema.org/BlogPosting",  ← This is a node type
  "http://purl.org/dc/terms/modified": {
    "@value": "2010-05-29T14:17:39+02:00",
    "@type": "http://www.w3.org/2001/XMLSchema#dateTime"  ← This is a value type
  }
  ...
}
        The first use of @type associates a node type
  (http://schema.org/BlogPosting) with the node,
  which is expressed using the @id keyword.
  The second use of @type associates a value type
  (http://www.w3.org/2001/XMLSchema#dateTime) with the
  value expressed using the @value keyword. As a
  general rule, when @value and @type are used in
  the same dictionary, the @type
  keyword is expressing a value type.
  Otherwise, the @type keyword is expressing a
  node type. The example above expresses the following data:
This section is non-normative.
JSON-LD supports the coercion of string values to particular data types. Type coercion allows someone deploying JSON-LD to use string property values and have those values be interpreted as typed values by associating an IRI with the value in the expanded value object representation. Using type coercion, string value representation can be used without requiring the data type to be specified explicitly with each piece of data.
Type coercion is specified within an expanded term definition
  using the @type key. The value of this key expands to an IRI.
  Alternatively, the keyword @id or @vocab may be used
  as value to indicate that within the body of a JSON-LD document, a string value of a
  term coerced to @id or @vocab is to be interpreted as an
  IRI. The difference between @id and @vocab is how values are expanded
  to absolute IRIs. @vocab first tries to expand the value
  by interpreting it as term. If no matching term is found in the
  active context, it tries to expand it as compact IRI or absolute IRI
  if there's a colon in the value; otherwise, it will expand the value using the
  active context's vocabulary mapping, if present.
  Values coerced to @id in contrast are expanded as
  compact IRI or absolute IRI if a colon is present; otherwise, they are interpreted
  as relative IRI.
Terms or compact IRIs used as the value of a
  @type key may be defined within the same context. This means that one may specify a
  term like xsd and then use xsd:integer within the same
  context definition.
The example below demonstrates how a JSON-LD author can coerce values to typed values and IRIs.
Terms may also be defined using absolute IRIs or compact IRIs. This allows coercion rules to be applied to keys which are not represented as a simple term. For example:
In this case the @id definition in the term definition is optional.
  If it does exist, the compact IRI or IRI representing
  the term will always be expanded to IRI defined by the @id
  key—regardless of whether a prefix is defined or not.
Type coercion is always performed using the unexpanded value of the key. In the
  example above, that means that type coercion is done looking for foaf:age
  in the active context and not for the corresponding, expanded
  IRI http://xmlns.com/foaf/0.1/age.
Keys in the context are treated as terms for the purpose of
  expansion and value coercion. At times, this may result in multiple representations for the same expanded IRI.
  For example, one could specify that dog and cat both expanded to http://example.com/vocab#animal.
  Doing this could be useful for establishing different type coercion or language specification rules. It also allows a compact IRI (or even an
  absolute IRI) to be defined as something else entirely. For example, one could specify that
  the term http://example.org/zoo should expand to
  http://example.org/river, but this usage is discouraged because it would lead to a
  great deal of confusion among developers attempting to understand the JSON-LD document.
This section is non-normative.
At times, it is important to annotate a string
    with its language. In JSON-LD this is possible in a variety of ways.
    First, it is possible to define a default language for a JSON-LD document
    by setting the @language key in the context:
The example above would associate the ja language
    code with the two strings 花澄 and 科学者.
    Languages codes are defined in [BCP47]. The default language applies to all
    string values that are not type coerced.
To clear the default language for a subtree, @language can
    be set to null in a local context as follows:
{
  "@context": {
    ...
    "@language": "ja"
  },
  "name": "花澄",
  "details": {
    "@context": {
      "@language": null
    },
    "occupation": "Ninja"
  }
}
        Second, it is possible to associate a language with a specific term using an expanded term definition:
{
  "@context": {
    ...
    "ex": "http://example.com/vocab/",
    "@language": "ja",
    "name": { "@id": "ex:name", "@language": null },
    "occupation": { "@id": "ex:occupation" },
    "occupation_en": { "@id": "ex:occupation", "@language": "en" },
    "occupation_cs": { "@id": "ex:occupation", "@language": "cs" }
  },
  "name": "Yagyū Muneyoshi",
  "occupation": "忍者",
  "occupation_en": "Ninja",
  "occupation_cs": "Nindža",
  ...
}
        The example above would associate 忍者 with the specified default
    language code ja, Ninja with the language code
    en, and Nindža with the language code cs.
    The value of name, Yagyū Muneyoshi wouldn't be
    associated with any language code since @language was reset to
    null in the expanded term definition.
Language associations are only applied to plain strings. Typed values or values that are subject to type coercion are not language tagged.
Just as in the example above, systems often need to express the value of a property in multiple languages. Typically, such systems also try to ensure that developers have a programmatically easy way to navigate the data structures for the language-specific data. In this case, language maps may be utilized.
{
  "@context": {
    ...
    "occupation": { "@id": "ex:occupation", "@container": "@language" }
  },
  "name": "Yagyū Muneyoshi",
  "occupation": {
    "ja": "忍者",
    "en": "Ninja",
    "cs": "Nindža"
  }
  ...
}
        The example above expresses exactly the same information as the previous
    example but consolidates all values in a single property. To access the
    value in a specific language in a programming language supporting dot-notation
    accessors for object properties, a developer may use the
    property.language pattern. For example, to access the occupation
    in English, a developer would use the following code snippet:
    obj.occupation.en.
Third, it is possible to override the default language by using a value object:
{
  "@context": {
    ...
    "@language": "ja"
  },
  "name": "花澄",
  "occupation": {
    "@value": "Scientist",
    "@language": "en"
  }
}
        This makes it possible to specify a plain string by omitting the
    @language tag or setting it to null when expressing
    it using a value object:
{
  "@context": {
    ...
    "@language": "ja"
  },
  "name": {
    "@value": "Frank"
  },
  "occupation": {
    "@value": "Ninja",
    "@language": "en"
  },
  "speciality": "手裏剣"
}
        See section 9.6 Language Maps for a description of using language maps to set the language of mapped values.
This section is non-normative.
A JSON-LD author can express multiple values in a compact way by using arrays. Since graphs do not describe ordering for links between nodes, arrays in JSON-LD do not provide an ordering of the contained elements by default. This is exactly the opposite from regular JSON arrays, which are ordered by default. For example, consider the following simple document:
Multiple values may also be expressed using the expanded form:
The example shown above would generates statement, again with no inherent order.
Although multiple values of a property are typically of the same type, JSON-LD places no restriction on this, and a property may have values of different types:
When viewed as statements, the values have no inherent order.
This section is non-normative.
As the notion of ordered collections is rather important in data
  modeling, it is useful to have specific language support. In JSON-LD,
  a list may be represented using the @list keyword as follows:
This describes the use of this array as being ordered,
  and order is maintained when processing a document. If every use of a given multi-valued
  property is a list, this may be abbreviated by setting @container
  to @list in the context:
The implementation of lists in RDF depends on linking anonymous nodes
  together using the properties rdf:first and
  rdf:rest, with the end of the list defined as the resource
  rdf:nil. This can be represented as statments, as the "statements"
  tab illustrates.
Both JSON-LD and Turtle provide shortcuts for representing ordered lists.
In JSON-LD 1.1, lists of lists, where the value of a list object, may itself be a list object, are fully supported. For example, in GeoJSON (see [RFC7946]), coordinates are an ordered list of positions, which are represented as an array of two or more numbers:
{
  "type": "Feature",
  "bbox": [-10.0, -10.0, 10.0, 10.0],
  "geometry": {
    "type": "Polygon",
    "coordinates": [
        [
            [-10.0, -10.0],
            [10.0, -10.0],
            [10.0, 10.0],
            [-10.0, -10.0]
        ]
    ]
  }
  //...
}
        For these examples, it's important that values expressed within bbox and coordinates maintain their order, which requires the use of embedded list structures. In JSON-LD 1.1, we can express this using recursive lists, by simply adding the appropriate context definion:
Note that coordinates includes three levels of lists.
Values of terms associated with an @list container
  are always represented in the form of an array,
  even if there is just a single value or no value at all.
This section is non-normative.
While @list is used to describe ordered lists,
  the @set keyword is used to describe unordered sets.
  The use of @set in the body of a JSON-LD document
  is optimized away when processing the document, as it is just syntactic
  sugar. However, @set is helpful when used within the context
  of a document.
  Values of terms associated with an @set container
  are always represented in the form of an array,
  even if there is just a single value that would otherwise be optimized to
  a non-array form in compact form (see
  section 5.2 Compacted Document Form). This makes post-processing of
  JSON-LD documents easier as the data is always in array form, even if the
  array only contains a single value.
This describes the use of this array as being unordered,
  and order is maintained when processing a document. By default,
  arrays of values are unordered, but this may be made explicit by
  setting @container to @set in the context:
Since JSON-LD 1.1, the @set keyword may be
  combined with other container specifications within an expanded term
  definition to similarly cause compacted values of indexes to be consistently
  represented using arrays. See section 4.6 Indexed Values for a further discussion.
This section is non-normative.
Many JSON APIs separate properties from their entities using an intermediate object; in JSON-LD these are called nested properties. For example, a set of possible labels may be grouped under a common property:
By defining labels using the keyword @nest,
    a JSON-LD processor will ignore the nesting created by using the
    labels property and process the contents as if it were declared
    directly within containing object. In this case, the labels
    property is semantically meaningless. Defining it as equivalent to
    @nest causes it to be ignored when expanding, making it
    equivalent to the following:
Similarly, node objects may contain a @nest property to
    reference a term aliased to @nest which causes such
    values to be nested under that aliased term.
Nested properties are a new feature in JSON-LD 1.1, requiring
    processing mode set to json-ld-1.1.
This section is non-normative.
Embedding is a JSON-LD feature that allows an author to use node objects as property values. This is a commonly used mechanism for creating a parent-child relationship between two nodes.
Without embedding, node objects can be linked by referencing the identifier of another node object. For example:
The previous example describes two node objects, for Manu and Gregg, with
    the knows property defined to treat string values as identifiers.
    Embedding allows the node object for Gregg to be embedded as a value
    of the knows property:
A node object, like the one used above, may be used in
    any value position in the body of a JSON-LD document. Note that type coercion of the knows property
    is not required, as the value is not a string.
While it is considered a best practice to identify nodes in a graph,
    at times this is impractical. In the data model, nodes without an explicit
    identifier are called blank nodes, which can be represented in a
    serialization such as JSON-LD using a blank node identifier. In the
    previous example, the top-level node for Manu does not have an identifier,
    and does not need one to describe it within the data model. However, if we
    were to want to describe a knows relationship from Gregg to Manu,
    we would need to introduce a blank node identifier
    (here _:b0).
Blank node identifiers may be automatically introduced by algorithms such as flattening, but they are also useful for authors to describe such relationships directly.
This section is non-normative.
At times, it becomes necessary to be able to express information without
    being able to uniquely identify the node with an IRI.
    This type of node is called a blank node. JSON-LD does not require
    all nodes to be identified using @id. However, some graph topologies
    may require identifiers to be serializable. Graphs containing loops, e.g., cannot
    be serialized using embedding alone, @id must be used to connect the nodes.
    In these situations, one can use blank node identifiers,
    which look like IRIs using an underscore (_)
    as scheme. This allows one to reference the node locally within the document, but
    makes it impossible to reference the node from an external document. The
    blank node identifier is scoped to the document in which it is used.
The example above contains information about two secret agents that cannot be identified with an IRI. While expressing that agent 1 knows agent 2 is possible without using blank node identifiers, it is necessary to assign agent 1 an identifier so that it can be referenced from agent 2.
It is worth noting that blank node identifiers may be relabeled during processing. If a developer finds that they refer to the blank node more than once, they should consider naming the node using a dereferenceable IRI so that it can also be referenced from other documents.
This section is non-normative.
Sometimes multiple property values need to be accessed in a more direct fashion than iterating though multiple array values. JSON-LD provides an indexing mechanism to allow the use of an intermediate dictionary to associate specific indexes with associated values.
See section 4.8 Named Graphs for other uses of indexing in JSON-LD.
This section is non-normative.
Databases are typically used to make access to data more efficient. Developers often extend this sort of functionality into their application data to deliver similar performance gains. Often this data does not have any meaning from a Linked Data standpoint, but is still useful for an application.
JSON-LD introduces the notion of index maps
    that can be used to structure data into a form that is
    more efficient to access. The data indexing feature allows an author to
    structure data using a simple key-value map where the keys do not map
    to IRIs. This enables direct access to data
    instead of having to scan an array in search of a specific item.
    In JSON-LD such data can be specified by associating the
    @index keyword with a
    @container declaration in the context:
In the example above, the post term has
    been marked as an index map. The en and
    de keys will be ignored  semantically, but preserved
    syntactically, by the JSON-LD Processor.  This allows a developer to
    access the German version of the post using the
    following code snippet: obj.post.de.
The interpretation of the data is expressed in the statements table. Note how the index keys do not appear in the statements, but would continue to exist if the document were compacted or expanded (see section 5.2 Compacted Document Form and section 5.1 Expanded Document Form) using a JSON-LD processor.
The value of @container can also
    be an array containing both @index and @set.
    When compacting, this ensures that a JSON-LD Processor will use
    the array form for all values of indexes.
If the processing mode is set to json-ld-1.1,
    the special index @none is used for indexing
    data which does not have an associated index, which is useful to maintain
    a normalized representation.
This section is non-normative.
JSON which includes string values in multiple languages may be
    represented using a language map to allow for easily
    indexing property values by language tag. This enables direct access to
    language values instead of having to scan an array in search of a specific item.
    In JSON-LD such data can be specified by associating the
    @language keyword with a
    @container declaration in the context:
In the example above, the label term has
    been marked as an language map. The en and
    de keys are implicitly associated with their respective
    values by the JSON-LD Processor.  This allows a developer to
    access the German version of the label using the
    following code snippet: obj.label.de.
The value of @container can also
    be an array containing both @language and @set.
    When compacting, this ensures that a JSON-LD Processor will use
    the array form for all values of language tags.
If the processing mode is set to json-ld-1.1,
    the special index @none is used for indexing
    data which does not have a language, which is useful to maintain
    a normalized representation.
This section is non-normative.
In addition to index maps, JSON-LD introduces the notion of id maps
    for structuring data. The id indexing feature allows an author to
    structure data using a simple key-value map where the keys map
    to IRIs. This enables direct access to associated node objects
    instead of having to scan an array in search of a specific item.
    In JSON-LD such data can be specified by associating the
    @id keyword with a
    @container declaration in the context:
In the example above, the post term has
    been marked as an id map. The http://example.com/posts/1/en and
    http://example.com/posts/1/de keys will be interpreted
    as the @id property of the node object value.
The interpretation of the data above is exactly the same as that in section 4.6.1 Data Indexing using a JSON-LD processor.
The value of @container can also
    be an array containing both @id and @set.
    When compacting, this ensures that a JSON-LD processor will use
    the array form for all values of node identifiers.
The special index @none is used for indexing
    node objects which do not have an @id, which is useful to maintain
    a normalized representation. The @none index may also be
    a term which expands to @none, such as the term none
    used in the example below.
Id maps are a new feature in JSON-LD 1.1, requiring
    processing mode set to json-ld-1.1.
This section is non-normative.
In addition to id and index maps, JSON-LD introduces the notion of type maps
    for structuring data. The type indexing feature allows an author to
    structure data using a simple key-value map where the keys map
    to IRIs. This enables data to be structured based on the @type
    of specific node objects.
    In JSON-LD such data can be specified by associating the
    @type keyword with a
    @container declaration in the context:
In the example above, the affiliation term has
    been marked as an type map. The schema:Corporation and
    schema:ProfessionalService keys will be interpreted
    as the @type property of the node object value.
The value of @container can also
    be an array containing both @type and @set.
    When compacting, this ensures that a JSON-LD processor will use
    the array form for all values of types.
The special index @none is used for indexing
    node objects which do not have an @type, which is useful to maintain
    a normalized representation. The @none index may also be
    a term which expands to @none, such as the term none
    used in the example below.
As with id maps, when used with @type, a container may also
    include @set to ensure that key values are always contained in an array.
Type maps are a new feature in JSON-LD 1.1, requiring
    processing mode set to json-ld-1.1.
This section is non-normative.
JSON-LD serializes directed graphs. That means that every property points from a node to another node or value. However, in some cases, it is desirable to serialize in the reverse direction. Consider for example the case where a person and its children should be described in a document. If the used vocabulary does not provide a children property but just a parent property, every node representing a child would have to be expressed with a property pointing to the parent as in the following example.
Expressing such data is much simpler by using JSON-LD's @reverse
    keyword:
The @reverse keyword can also be used in
    expanded term definitions
    to create reverse properties as shown in the following example:
This section is non-normative.
At times, it is necessary to make statements about a graph
    itself, rather than just a single node. This can be done by
    grouping a set of nodes using the @graph
    keyword. A developer may also name data expressed using the
    @graph keyword by pairing it with an
    @id keyword as shown in the following example:
The example above expresses a named graph that is identified
    by the IRI http://example.org/foaf-graph. That
    graph is composed of the statements about Manu and Gregg. Metadata about
    the graph itself is expressed via the generatedAt property,
    which specifies when the graph was generated.
When a JSON-LD document's top-level structure is an
    dictionary that contains no other
    keys than @graph and
    optionally @context (properties that are not mapped to an
    IRI or a keyword are ignored),
    @graph is considered to express the otherwise implicit
    default graph. This mechanism can be useful when a number
    of nodes exist at the document's top level that
    share the same context, which is, e.g., the case when a
    document is flattened. The
    @graph keyword collects such nodes in an array
    and allows the use of a shared context.
In this case, embedding doesn't work as each node object
    references the other. This is equivalent to using multiple
    node objects in array and defining
    the @context within each node object:
This section is non-normative.
In some cases, it is useful to logically partition data into separate
      graphs, without making this explicit within the JSON expression. For
      example, a JSON document may contain data against which other metadata is
      asserted and it is useful to separate this data in the data model using
      the notion of named graphs, without the syntactic overhead
      associated with the @graph keyword.
An expanded term definition can use @graph as the
      value of @container. This indicates that values of this
      term should be considered to be named graphs, where the
      graph name is an automatically assigned blank node identifier
      creating an implicitly named graph. When expanded, these become
      simple graph objects.
An alternative to our example above could use an anonymously named graph as follows:
The example above expresses a named graph that is identified
      by the blank node identifier _:b0. That
      graph is composed of the statements about Manu and Gregg. Metadata about
      the graph itself is expressed via the generatedAt property,
      which specifies when the graph was generated.
The blank node identifier _:b0
      is automatically created to allow the default graph to reference the
      named graph as the definition of the claim. These are
      necessary for serialization, where nodes without explicit identifiers,
      such as the named graph in this case, can be represented.
Strictly speaking, the value of such a term is not a named graph, rather it is the graph name associated with the named graph, which exists separately within the dataset.
Graph Containers are a new feature in JSON-LD 1.1, requiring
      processing mode set to json-ld-1.1.
This section is non-normative.
In addition to indexing node objects by index, graph objects may
    also be indexed by an index. By using the @graph
    container type, introduced in section 4.8.1 Graph Containers
    in addition to @index, an object value of such a property is
    treated as a key-value map where the keys do not map to IRIs, but
    are taken from an @index property associated with named graphs
    which are their values. When expanded, these must be simple graph objects
The following example describes a default graph referencing multiple named graphs using an index map.
As with index maps, when used with @graph, a container may also
    include @set to ensure that key values are always contained in an array.
If the processing mode is set to json-ld-1.1,
    the special index @none is used for indexing
    graphs which does not have an @index key, which is useful to maintain
    a normalized representation. Note, however, that
      compacting a document where multiple unidentified named graphs are
      compacted using the @none index will result in the content
      of those graphs being merged. To prevent this, give each graph a distinct
      @index key.
This section is non-normative.
In addition to indexing node objects by identifier, graph objects may
    also be indexed by their graph name. By using the @graph
    container type, introduced in section 4.8.1 Graph Containers
    in addition to @id, an object value of such a property is
    treated as a key-value map where the keys represent the identifiers of named graphs
    which are their values.
The following example describes a default graph referencing multiple named graphs using an id map.
As with id maps, when used with @graph, a container may also
    include @set to ensure that key values are always contained in an array.
As with id maps, the special index @none is used for indexing
    named graphs which do not have an @id, which is useful to maintain
    a normalized representation. The @none index may also be
    a term which expands to @none.
    Note, however, that if multiple graphs are represented without
      an @id, they will be merged on expansion. To prevent this,
      use @none judiciously, and consider giving graphs
      their own distinct identifier.
Graph Containers are a new feature in JSON-LD 1.1, requiring
    processing mode set to json-ld-1.1.
This section is non-normative.
As with many data formats, there is no single correct way to describe data in JSON-LD. However, as JSON-LD is used for describing graphs, certain transformations can be used to change the shape of the data, without changing its meaning as Linked Data.
@context is no longer necessary.
    This process is described further in section 5.1 Expanded Document Form.This section is non-normative.
The JSON-LD 1.1 Processing Algorithms and API specification [JSON-LD11-API]
    defines a method for expanding a JSON-LD document.
    Expansion is the process of taking a JSON-LD document and applying a
    context such that all IRIs, types, and values
    are expanded so that the @context is no longer necessary.
For example, assume the following JSON-LD input document:
{
   "@context": {
      "name": "http://xmlns.com/foaf/0.1/name",
      "homepage": {
        "@id": "http://xmlns.com/foaf/0.1/homepage",
        "@type": "@id"
      }
   },
   "name": "Manu Sporny",
   "homepage": "http://manu.sporny.org/"
}
        Running the JSON-LD Expansion algorithm against the JSON-LD input document provided above would result in the following output:
JSON-LD's media type defines a
    profile parameter which can be used to signal or request
    expanded document form. The profile URI identifying expanded document
    form is http://www.w3.org/ns/json-ld#expanded.
This section is non-normative.
The JSON-LD 1.1 Processing Algorithms and API specification [JSON-LD11-API] defines a method for compacting a JSON-LD document. Compaction is the process of applying a developer-supplied context to shorten IRIs to terms or compact IRIs and JSON-LD values expressed in expanded form to simple values such as strings or numbers. Often this makes it simpler to work with document as the data is expressed in application-specific terms. Compacted documents are also typically easier to read for humans.
For example, assume the following JSON-LD input document:
[
  {
    "http://xmlns.com/foaf/0.1/name": [ "Manu Sporny" ],
    "http://xmlns.com/foaf/0.1/homepage": [
      {
       "@id": "http://manu.sporny.org/"
      }
    ]
  }
]
        Additionally, assume the following developer-supplied JSON-LD context:
{
  "@context": {
    "name": "http://xmlns.com/foaf/0.1/name",
    "homepage": {
      "@id": "http://xmlns.com/foaf/0.1/homepage",
      "@type": "@id"
    }
  }
}
        Running the JSON-LD Compaction algorithm given the context supplied above against the JSON-LD input document provided above would result in the following output:
JSON-LD's media type defines a
    profile parameter which can be used to signal or request
    compacted document form. The profile URI identifying compacted document
    form is http://www.w3.org/ns/json-ld#compacted.
This section is non-normative.
The JSON-LD 1.1 Processing Algorithms and API specification [JSON-LD11-API] defines a method for flattening a JSON-LD document. Flattening collects all properties of a node in a single dictionary and labels all blank nodes with blank node identifiers. This ensures a shape of the data and consequently may drastically simplify the code required to process JSON-LD in certain applications.
For example, assume the following JSON-LD input document:
{
  "@context": {
    "name": "http://xmlns.com/foaf/0.1/name",
    "knows": "http://xmlns.com/foaf/0.1/knows"
  },
  "@id": "http://me.markus-lanthaler.com/",
  "name": "Markus Lanthaler",
  "knows": [
    {
      "@id": "http://manu.sporny.org/about#manu",
      "name": "Manu Sporny"
    }, {
      "name": "Dave Longley"
    }
  ]
}
        Running the JSON-LD Flattening algorithm against the JSON-LD input document in the example above and using the same context would result in the following output:
JSON-LD's media type defines a
    profile parameter which can be used to signal or request
    flattened document form. The profile URI identifying flattened document
    form is http://www.w3.org/ns/json-ld#flattened. It can be
    combined with the profile URI identifying
    expanded document form or
    compacted document from.
This section is non-normative.
The JSON-LD 1.1 Framing specification [JSON-LD11-FRAMING] defines a method for framing a JSON-LD document. Framing is used to shape the data in a JSON-LD document, using an example frame document which is used to both match the flattened data and show an example of how the resulting data should be shaped.
For example, assume the following JSON-LD frame:
{
  "@context": {
    "@version": 1.1,
    "@vocab": "http://example.org/"
  },
  "@type": "Library",
  "contains": {
    "@type": "Book",
    "contains": {
      "@type": "Chapter"
    }
  }
}
        This frame document describes an embedding structure that would place objects with type Library at the top, with objects of type Book that were linked to the library object using the contains property embedded as property values. It also places objects of type Chapter within the referencing Book object as embedded values of the Book object.
When using a flattened set of objects that match the frame components:
{
  "@context": {
    "@vocab": "http://example.org/",
    "contains": {"@type": "@id"}
  },
  "@graph": [{
    "@id": "http://example.org/library",
    "@type": "Library",
    "contains": "http://example.org/library/the-republic"
  }, {
    "@id": "http://example.org/library/the-republic",
    "@type": "Book",
    "creator": "Plato",
    "title": "The Republic",
    "contains": "http://example.org/library/the-republic#introduction"
  }, {
    "@id": "http://example.org/library/the-republic#introduction",
    "@type": "Chapter",
    "description": "An introductory chapter on The Republic.",
    "title": "The Introduction"
  }]
}
        The Frame Algorithm can create a new document which follows the structure of the frame:
Ordinary JSON documents can be interpreted as JSON-LD
    by providing an explicit JSON-LD context document. One way
    to provide this is by using referencing a JSON-LD
    context document in an HTTP Link Header.
    Doing so allows JSON to be unambiguously machine-readable without requiring developers to drastically
    change their documents and provides an upgrade path for existing infrastructure
    without breaking existing clients that rely on the application/json
    media type or a media type with a +json suffix as defined in
    [RFC6839].
In order to use an external context with an ordinary JSON document, when retrieving an ordinary JSON document via HTTP, processors MUST retrieve any JSON-LD document referenced by a Link Header with:
rel="http://www.w3.org/ns/json-ld#context", andtype="application/ld+json".The referenced document MUST have a top-level JSON object.
    The @context member within that object is added to the top-level
    JSON object of the referencing document. If an array
    is at the top-level of the referencing document and its items are
    JSON objects, the @context
    subtree is added to all array items. All extra information located outside
    of the @context subtree in the referenced document MUST be
    discarded. Effectively this means that the active context is
    initialized with the referenced external context. A response MUST NOT
    contain more than one HTTP Link Header [RFC8288] using the
    http://www.w3.org/ns/json-ld#context link relation.
Other mechanisms for providing a JSON-LD Context MAY be described for other URI schemes.
The JSON-LD 1.1 Processing Algorithms and API specification [JSON-LD11-API] provides for an expandContext option for specifying a context to use when expanding JSON documents programatically.
The following example demonstrates the use of an external context with an ordinary JSON document over HTTP:
GET /ordinary-json-document.json HTTP/1.1 Host: example.com Accept: application/ld+json,application/json,*/*;q=0.1 ==================================== HTTP/1.1 200 OK ... Content-Type: application/json Link: <https://json-ld.org/contexts/person.jsonld>; rel="http://www.w3.org/ns/json-ld#context"; type="application/ld+json" { "name": "Markus Lanthaler", "homepage": "http://www.markus-lanthaler.com/", "image": "http://twitter.com/account/profile_image/markuslanthaler" }
Please note that JSON-LD documents
    served with the application/ld+json
    media type MUST have all context information, including references to external
    contexts, within the body of the document. Contexts linked via a
    http://www.w3.org/ns/json-ld#context HTTP Link Header MUST be
    ignored for such documents.
This section is non-normative.
HTML script elements can be used to embed blocks of data in documents.
    This way, JSON-LD content can be easily embedded in HTML [HTML52] by placing
    it in a script element with the type attribute set to
    application/ld+json.
<script type="application/ld+json"> { "@context": "https://json-ld.org/contexts/person.jsonld", "@id": "http://dbpedia.org/resource/John_Lennon", "name": "John Lennon", "born": "1940-10-09", "spouse": "http://dbpedia.org/resource/Cynthia_Lennon" } </script>
Depending on how the HTML document is served, certain strings may need to be escaped.
Defining how such data may be used is beyond the scope of this specification. The embedded JSON-LD document might be extracted as is or, e.g., be interpreted as RDF.
If JSON-LD content is extracted as RDF [RDF11-CONCEPTS], it should be expanded into an RDF Dataset using the Deserialize JSON-LD to RDF Algorithm [JSON-LD11-API].
JSON-LD is a serialization format for Linked Data based on JSON. It is therefore important to distinguish between the syntax, which is defined by JSON in [RFC8259], and the data model which is an extension of the RDF data model [RDF11-CONCEPTS]. The precise details of how JSON-LD relates to the RDF data model are given in section 10. Relationship to RDF.
To ease understanding for developers unfamiliar with the RDF model, the following summary is provided:
{
  "@id": "http://example.org/1"
}
        @id.
        A document may have nodes which are unrelated, as long as one or more
        properties are defined, or the node is referenced from another node object.
      _:.xsd:string), a number
      (numbers with a non-zero fractional part, i.e., the result of a modulo‑1 operation,
      are interpreted as typed values with type xsd:double, all other
      numbers are interpreted as typed values
      with type xsd:integer), true or false (which are interpreted as
      typed values with type xsd:boolean),
      or a language-tagged string.JSON-LD documents MAY contain data that cannot be represented by the data model defined above. Unless otherwise specified, such data is ignored when a JSON-LD document is being processed. One result of this rule is that properties which are not mapped to an IRI, a blank node, or keyword will be ignored.
Additionally, the JSON serialization format is internally represented using the JSON-LD internal representation, which uses the generic concepts of arrays, dictionaries, strings, numbers, booleans, and null to describe the data represented by a JSON document.
The dataset described in this figure can be represented as follows:
Note the use of @graph at the outer-most level to describe three top-level
    resources (two of them named graphs). The named graphs use @graph in addition
    to @id to provide the name for each graph.
This appendix restates the syntactic conventions described in the previous sections more formally.
A JSON-LD document MUST be valid JSON text as described in [RFC8259], or some format that can be represented in the JSON-LD internal representation that is equivalent to valid JSON text.
A JSON-LD document MUST be a single node object,
    a dictionary consisting of only
    the members @context and/or @graph,
    or an array or zero or more node objects.
In contrast to JSON, in JSON-LD the keys in objects MUST be unique.
Whenever a keyword is discussed in this grammar, the statements also apply to an alias for that keyword.
JSON-LD allows keywords to be aliased
    (see section 4.1.5 Aliasing Keywords for details). For example, if the active context
    defines the term id as an alias for @id,
    that alias may be legitimately used as a substitution for @id.
    Note that keyword aliases are not expanded during context
    processing.
A term is a short-hand string that expands to an IRI or a blank node identifier.
A term MUST NOT equal any of the JSON-LD keywords.
When used as the prefix in a Compact IRI, to avoid
      the potential ambiguity of a prefix being confused with an IRI
      scheme, terms SHOULD NOT come from the list of URI schemes as defined in
      [IANA-URI-SCHEMES]. Similarly, to avoid confusion between a
      Compact IRI and a term, terms SHOULD NOT include a colon (:)
      and SHOULD be restricted to the form of
      isegment-nz-nc
      as defined in [RFC3987].
To avoid forward-compatibility issues, a term SHOULD NOT start
      with an @ character as future versions of JSON-LD may introduce
      additional keywords. Furthermore, the term MUST NOT
      be an empty string ("") as not all programming languages
      are able to handle empty JSON keys.
See section 3.1 The Context and section 3.2 IRIs for further discussion on mapping terms to IRIs.
A node object represents zero or more properties of a node in the graph serialized by the JSON-LD document. A dictionary is a node object if it exists outside of a JSON-LD context and:
@graph and @context,@value, @list,
        or @set keywords, andThe properties of a node in a graph may be spread among different node objects within a document. When that happens, the keys of the different node objects need to be merged to create the properties of the resulting node.
A node object MUST be a dictionary. All keys which are not IRIs, compact IRIs, terms valid in the active context, or one of the following keywords (or alias of such a keyword) MUST be ignored when processed:
@context,@id,@graph,@nest,@type,@reverse, or@indexIf the node object contains the @context
      key, its value MUST be null, an absolute IRI,
      a relative IRI, a context definition, or
      an array composed of any of these.
If the node object contains the @id key,
      its value MUST be an absolute IRI, a relative IRI,
      or a compact IRI (including
      blank node identifiers).
      See section 3.3 Node Identifiers,
      section 4.1.4 Compact IRIs, and
      section 4.5.1 Identifying Blank Nodes for further discussion on
      @id values.
If the node object contains the @graph
      key, its value MUST be
      a node object or
      an array of zero or more node objects.
      If the node object contains an @id keyword,
      its value is used as the graph name of a named graph.
      See section 4.8 Named Graphs for further discussion on
      @graph values. As a special case, if a dictionary
      contains no keys other than @graph and @context, and the
      dictionary is the root of the JSON-LD document, the
      dictionary is not treated as a node object; this
      is used as a way of defining node objects
      that may not form a connected graph. This allows a
      context to be defined which is shared by all of the constituent
      node objects.
If the node object contains the @type
      key, its value MUST be either an absolute IRI, a
      relative IRI, a compact IRI
      (including blank node identifiers),
      a term defined in the active context expanding into an absolute IRI, or
      an array of any of these.
      See section 3.4 Specifying the Type for further discussion on
      @type values.
If the node object contains the @reverse key,
      its value MUST be a dictionary containing members representing reverse
      properties. Each value of such a reverse property MUST be an absolute IRI,
      a relative IRI, a compact IRI, a blank node identifier,
      a node object or an array containing a combination of these.
If the node object contains the @index key,
      its value MUST be a string. See
      section 4.6.1 Data Indexing for further discussion
      on @index values.
If the node object contains the @nest key,
      its value MUST be an dictionary or an array of dictionaries
      which MUST NOT include a value object. See
      section 9.10 Property Nesting for further discussion
      on @nest values.
Keys in a node object that are not keywords MAY expand to an absolute IRI using the active context. The values associated with keys that expand to an absolute IRI MUST be one of the following:
A graph object represents a named graph, which MAY include
      include an explicit graph name.
      A dictionary is a graph object if
      it exists outside of a JSON-LD context,
      it is not a node object,
      it is not the top-most dictionary in the JSON-LD document, and
      it consists of no members other than @graph,
      @index, @id
      and @context, or an alias of one of these keywords.
If the graph object contains the @context
      key, its value MUST be null, an absolute IRI,
      a relative IRI, a context definition, or
      an array composed of any of these.
If the graph object contains the @id key,
      its value is used as the identifier (graph name) of a named graph, and
      MUST be an absolute IRI, a relative IRI,
      or a compact IRI (including
      blank node identifiers).
      See section 3.3 Node Identifiers,
      section 4.1.4 Compact IRIs, and
      section 4.5.1 Identifying Blank Nodes for further discussion on
      @id values.
A graph object without an @id member is also a
      simple graph object and represents a named graph without an
      explicit identifier, although in the data model it still has a
      graph name, which is an implicitly allocated
      blank node identifier.
The value of the @graph key MUST be
      a node object or
      an array of zero or more node objects.
      See section 4.8 Named Graphs for further discussion on
      @graph values..
A value object is used to explicitly associate a type or a language with a value to create a typed value or a language-tagged string.
A value object MUST be a dictionary containing the
      @value key. It MAY also contain an @type,
      an @language, an @index, or an @context key but MUST NOT contain
      both an @type and an @language key at the same time.
      A value object MUST NOT contain any other keys that expand to an
      absolute IRI or keyword.
The value associated with the @value key MUST be either a
      string, a number, true,
      false or null.
The value associated with the @type key MUST be a
      term, a compact IRI,
      an absolute IRI, a string which can be turned
      into an absolute IRI using the vocabulary mapping, or null.
The value associated with the @language key MUST have the
      lexical form described in [BCP47], or be null.
The value associated with the @index key MUST be a
      string.
See section 4.2.1 Typed Values and section 4.2.3 String Internationalization for more information on value objects.
A list represents an ordered set of values. A set
      represents an unordered set of values. Unless otherwise specified,
      arrays are unordered in JSON-LD. As such, the
      @set keyword, when used in the body of a JSON-LD document,
      represents just syntactic sugar which is optimized away when processing the document.
      However, it is very helpful when used within the context of a document. Values
      of terms associated with an @set or @list container
      will always be represented in the form of an array when a document
      is processed—even if there is just a single value that would otherwise be optimized to
      a non-array form in compact document form.
      This simplifies post-processing of the data as the data is always in a
      deterministic form.
A list object MUST be a dictionary that contains no
      keys that expand to an absolute IRI or keyword other
      than @list, @context, and @index.
A set object MUST be a dictionary that contains no
      keys that expand to an absolute IRI or keyword other
      than @set, @context, and @index.
      Please note that the @index key will be ignored when being processed.
In both cases, the value associated with the keys @list and @set
      MUST be one of the following types:
See section 4.3 Value Ordering for further discussion on sets and lists.
A language map is used to associate a language with a value in a
      way that allows easy programmatic access. A language map may be
      used as a term value within a node object if the term is defined
      with @container set to @language,
      
        or an array containing both @language and @set
      . The keys of a
      language map MUST be strings representing
      [BCP47] language codes, the keyword @none,
      or a term which expands to @none,
      and the values MUST be any of the following types:
See section 4.2.3 String Internationalization for further discussion on language maps.
An index map allows keys that have no semantic meaning,
      but should be preserved regardless, to be used in JSON-LD documents.
      An index map may
      be used as a term value within a node object if the
      term is defined with @container set to @index,
      
        or an array containing both @index and @set
      .
      The values of the members of an index map MUST be one
      of the following types:
See section 4.6.1 Data Indexing for further information on this topic.
Index Maps may also be used to map indexes to associated
      named graphs, if the term is defined with @container
      set to an array containing both @graph and
      @index, and optionally including @set. The
      value consists of the node objects contained within the named
      graph which is named using the referencing key, which can be
      represented as a simple graph object.
An id map is used to associate an IRI with a value that allows easy
      programmatic access. An id map may be used as a term value within a node object if the term
      is defined with @container set to @id,
      or an array containing both @id and @set.
      The keys of an id map MUST be IRIs
      (relative IRI, compact IRI (including blank node identifiers), or absolute IRI),
      the keyword @none,
      or a term which expands to @none,
      and the values MUST be node objects.
If the value contains a property expanding to @id, it's value MUST
      be equivalent to the referencing key. Otherwise, the property from the value is used as
      the @id of the node object value when expanding.
Id Maps may also be used to map graph names to their
      named graphs, if the term is defined with @container
      set to an array containing both @graph and @id,
      and optionally including @set. The value consists of the
      node objects contained within the named graph
      which is named using the referencing key.
A type map is used to associate an IRI with a value that allows easy
      programmatic access. A type map may be used as a term value within a node object if the term
      is defined with @container set to @type,
      or an array containing both @type and @set.
      The keys of a type map MUST be IRIs
      (relative IRI, compact IRI (including blank node identifiers), or absolute IRI),
      the keyword @none,
      or a term which expands to @none,
      and the values MUST be node objects.
If the value contains a property expanding to @type, and it's value
      is contains the referencing key after suitable expansion of both the referencing key
      and the value, then the node object already contains the type. Otherwise, the property from the value is
      added as a @type of the node object value when expanding.
A nested property is used to gather properties of a node object in a separate dictionary, or array of dictionaries which are not value objects. It is semantically transparent and is removed during the process of expansion. Property nesting is recursive, and collections of nested properties may contain further nesting.
Semantically, nesting is treated as if the properties and values were declared directly within the containing node object.
A context definition defines a local context in a node object.
A context definition MUST be a dictionary whose
    keys MUST be either terms, compact IRIs, absolute IRIs,
    or one of the keywords @language, @base,
    @type, @vocab, or @version.
If the context definition has an @language key,
    its value MUST have the lexical form described in [BCP47] or be null.
If the context definition has an @base key,
    its value MUST be an absolute IRI, a relative IRI,
    or null.
If the context definition has an @type key,
    its value MUST be a dictionary with the single member @container set to @set.
If the context definition has an @vocab key,
    its value MUST be a absolute IRI, a compact IRI,
    a blank node identifier,
    an empty string (""),
    a term, or null.
If the context definition has an @version key,
    its value MUST be a number with the value 1.1.
The value of keys that are not keywords MUST be either an absolute IRI, a compact IRI, a term, a blank node identifier, a keyword, null, or an expanded term definition.
An expanded term definition is used to describe the mapping between a term and its expanded identifier, as well as other properties of the value associated with the term when it is used as key in a node object.
An expanded term definition MUST be a dictionary
    composed of zero or more keys from
    @id,
    @reverse,
    @type,
    @language,
    @context,
    @prefix, or
    @container. An
    expanded term definition SHOULD NOT contain any other keys.
If the term being defined is not a compact IRI or
    absolute IRI and the active context does not have an
    @vocab mapping, the expanded term definition MUST
    include the @id key.
If the expanded term definition contains the @id
    keyword, its value MUST be null, an absolute IRI,
    a blank node identifier, a compact IRI, a term,
    or a keyword.
If an expanded term definition has an @reverse member,
    it MUST NOT have @id or @nest members at the same time,
    its value MUST be an absolute IRI,
    a blank node identifier, a compact IRI, or a term. If an
    @container member exists, its value MUST be null,
    @set, or @index.
If the expanded term definition contains the @type
    keyword, its value MUST be an absolute IRI, a
    compact IRI, a term, null, or one of the
    keywords @id or @vocab.
If the expanded term definition contains the @language keyword,
    its value MUST have the lexical form described in [BCP47] or be null.
If the expanded term definition contains the @container
    keyword, its value MUST be either
    @list,
    @set,
    @language,
    @index,
    @id,
    @graph,
    @type, or be
    null
    
      or an array containing exactly any one of those keywords, or a
      combination of @set and any of @index,
      @id, @graph, @type,
      @language in any order
    .
    @container may also be an array
      containing @graph along with either @id or
      @index and also optionally including @set.
    If the value
    is @language, when the term is used outside of the
    @context, the associated value MUST be a language map.
    If the value is @index, when the term is used outside of
    the @context, the associated value MUST be an
    index map.
If an expanded term definition has an @context member,
    it MUST be a valid context definition.
If the expanded term definition contains the @nest
    keyword, its value MUST be either @nest, or a term
    which expands to @nest.
If the expanded term definition contains the @prefix
    keyword, its value MUST be true or false.
Terms MUST NOT be used in a circular manner. That is, the definition of a term cannot depend on the definition of another term if that other term also depends on the first term.
See section 3.1 The Context for further discussion on contexts.
JSON-LD is a concrete RDF syntax as described in [RDF11-CONCEPTS]. Hence, a JSON-LD document is both an RDF document and a JSON document and correspondingly represents an instance of an RDF data model. However, JSON-LD also extends the RDF data model to optionally allow JSON-LD to serialize generalized RDF Datasets. The JSON-LD extensions to the RDF data model are:
Summarized, these differences mean that JSON-LD is capable of serializing any RDF graph or dataset and most, but not all, JSON-LD documents can be directly interpreted as RDF as described in RDF 1.1 Concepts [RDF11-CONCEPTS].
For authors and developers working with blank nodes as properties when deserializing to RDF, three potential approaches are suggested:
The normative algorithms for interpreting JSON-LD as RDF and serializing RDF as JSON-LD are specified in the JSON-LD 1.1 Processing Algorithms and API specification [JSON-LD11-API].
Even though JSON-LD serializes generalized RDF Datasets, it can also be used as a RDF graph source. In that case, a consumer MUST only use the default graph and ignore all named graphs. This allows servers to expose data in languages such as Turtle and JSON-LD using content negotiation.
Publishers supporting both dataset and graph syntaxes have to ensure that the primary data is stored in the default graph to enable consumers that do not support datasets to process the information.
This section is non-normative.
The process of serializing RDF as JSON-LD and deserializing JSON-LD to RDF depends on executing the algorithms defined in RDF Serialization-Deserialization Algorithms in the JSON-LD 1.1 Processing Algorithms and API specification [JSON-LD11-API]. It is beyond the scope of this document to detail these algorithms any further, but a summary of the necessary operations is provided to illustrate the process.
The procedure to deserialize a JSON-LD document to RDF involves the following steps:
For example, consider the following JSON-LD document in compact form:
{
  "@context": {
    "name": "http://xmlns.com/foaf/0.1/name",
    "knows": "http://xmlns.com/foaf/0.1/knows"
  },
  "@id": "http://me.markus-lanthaler.com/",
  "name": "Markus Lanthaler",
  "knows": [
    {
      "@id": "http://manu.sporny.org/about#manu",
      "name": "Manu Sporny"
    }, {
      "name": "Dave Longley"
    }
  ]
}
        Running the JSON-LD Expansion and Flattening algorithms against the JSON-LD input document in the example above would result in the following output:
[
  {
    "@id": "_:b0",
    "http://xmlns.com/foaf/0.1/name": "Dave Longley"
  }, {
    "@id": "http://manu.sporny.org/about#manu",
    "http://xmlns.com/foaf/0.1/name": "Manu Sporny"
  }, {
    "@id": "http://me.markus-lanthaler.com/",
    "http://xmlns.com/foaf/0.1/name": "Markus Lanthaler",
    "http://xmlns.com/foaf/0.1/knows": [
      { "@id": "http://manu.sporny.org/about#manu" },
      { "@id": "_:b0" }
    ]
  }
]
        Deserializing this to RDF now is a straightforward process of turning each node object into one or more RDF triples. This can be expressed in Turtle as follows:
@prefix foaf: <http://xmlns.com/foaf/0.1/> .
_:b0 foaf:name "Dave Longley" .
<http://manu.sporny.org/about#manu> foaf:name "Manu Sporny" .
<http://me.markus-lanthaler.com/> foaf:name "Markus Lanthaler" ;
    foaf:knows <http://manu.sporny.org/about#manu>, _:b0 .
        The process of serializing RDF as JSON-LD can be thought of as the inverse of this last step, creating an expanded JSON-LD document closely matching the triples from RDF, using a single node object for all triples having a common subject, and a single property for those triples also having a common predicate. The result may then be framed by using the Framing Algorithm described in [JSON-LD11-FRAMING] to create the desired object embedding.
This section is non-normative.
The image consists of three dashed boxes, each describing a different linked data graph. Each box consists of shapes linked with arrows describing the linked data relationships.
The first box is titled "default graph: <no name>" describes two
        resources: http://example.com/people/alice and http://example.com/people/bob
        (denoting "Alice" and "Bob" respectively), which are
        connected by an arrow labeled schema:knows which describes
        the knows relationship between the two resources. Additionally, the "Alice" resource is related
        to three different literals:
The second and third boxes describe two named graphs, with the graph names "http://example.com/graphs/1" and "http://example.com/graphs/1", respectively.
The second box consists of two resources:
        http://example.com/people/alice and http://example.com/people/bob
        related by the schema:parent relationship, and names the
        http://example.com/people/bob "Bob".
The third box consists of two resources, one
        named http://example.com/people/bob and the other unnamed.
        The two resources related to each other using schema:sibling relationship
        with the second named "Mary".
This section is non-normative.
The JSON-LD examples below demonstrate how JSON-LD can be used to express semantic data marked up in other linked data formats such as Turtle, RDFa, and Microdata. These sections are merely provided as evidence that JSON-LD is very flexible in what it can express across different Linked Data approaches.
This section is non-normative.
The following are examples of transforming RDF expressed in [Turtle] into JSON-LD.
The JSON-LD context has direct equivalents for the Turtle
        @prefix declaration:
@prefix foaf: <http://xmlns.com/foaf/0.1/> .
<http://manu.sporny.org/about#manu> a foaf:Person;
  foaf:name "Manu Sporny";
  foaf:homepage <http://manu.sporny.org/> .
        {
  "@context": {
    "foaf": "http://xmlns.com/foaf/0.1/"
  },
  "@id": "http://manu.sporny.org/about#manu",
  "@type": "foaf:Person",
  "foaf:name": "Manu Sporny",
  "foaf:homepage": { "@id": "http://manu.sporny.org/" }
}
        Both [Turtle] and JSON-LD allow embedding, although [Turtle] only allows embedding of blank nodes.
@prefix foaf: <http://xmlns.com/foaf/0.1/> .
<http://manu.sporny.org/about#manu>
  a foaf:Person;
  foaf:name "Manu Sporny";
  foaf:knows [ a foaf:Person; foaf:name "Gregg Kellogg" ] .
        {
  "@context": {
    "foaf": "http://xmlns.com/foaf/0.1/"
  },
  "@id": "http://manu.sporny.org/about#manu",
  "@type": "foaf:Person",
  "foaf:name": "Manu Sporny",
  "foaf:knows": {
    "@type": "foaf:Person",
    "foaf:name": "Gregg Kellogg"
  }
}
        In JSON-LD numbers and boolean values are native data types. While [Turtle]
        has a shorthand syntax to express such values, RDF's abstract syntax requires
        that numbers and boolean values are represented as typed literals. Thus,
        to allow full round-tripping, the JSON-LD 1.1 Processing Algorithms and API specification [JSON-LD11-API]
        defines conversion rules between JSON-LD's native data types and RDF's
        counterparts. Numbers without fractions are
        converted to xsd:integer-typed literals, numbers with fractions
        to xsd:double-typed literals and the two boolean values
        true and false to a xsd:boolean-typed
        literal. All typed literals are in canonical lexical form.
{
  "@context": {
    "ex": "http://example.com/vocab#"
  },
  "@id": "http://example.com/",
  "ex:numbers": [ 14, 2.78 ],
  "ex:booleans": [ true, false ]
}
        @prefix ex: <http://example.com/vocab#> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .
<http://example.com/>
  ex:numbers "14"^^xsd:integer, "2.78E0"^^xsd:double ;
  ex:booleans "true"^^xsd:boolean, "false"^^xsd:boolean .
        Both JSON-LD and [Turtle] can represent sequential lists of values.
@prefix foaf: <http://xmlns.com/foaf/0.1/> .
<http://example.org/people#joebob> a foaf:Person;
  foaf:name "Joe Bob";
  foaf:nick ( "joe" "bob" "jaybee" ) .
        {
  "@context": {
    "foaf": "http://xmlns.com/foaf/0.1/"
  },
  "@id": "http://example.org/people#joebob",
  "@type": "foaf:Person",
  "foaf:name": "Joe Bob",
  "foaf:nick": {
    "@list": [ "joe", "bob", "jaybee" ]
  }
}
        This section is non-normative.
The following example describes three people with their respective names and homepages in RDFa [RDFA-CORE].
<div prefix="foaf: http://xmlns.com/foaf/0.1/"> <ul> <li typeof="foaf:Person"> <a property="foaf:homepage" href="http://example.com/bob/"> <span property="foaf:name">Bob</span> </a> </li> <li typeof="foaf:Person"> <a property="foaf:homepage" href="http://example.com/eve/"> <span property="foaf:name">Eve</span> </a> </li> <li typeof="foaf:Person"> <a property="foaf:homepage" href="http://example.com/manu/"> <span property="foaf:name">Manu</span> </a> </li> </ul> </div>
An example JSON-LD implementation using a single context is described below.
This section is non-normative.
The HTML Microdata [MICRODATA] example below expresses book information as a Microdata Work item.
<dl itemscope
    itemtype="http://purl.org/vocab/frbr/core#Work"
    itemid="http://purl.oreilly.com/works/45U8QJGZSQKDH8N">
 <dt>Title</dt>
 <dd><cite itemprop="http://purl.org/dc/terms/title">Just a Geek</cite></dd>
 <dt>By</dt>
 <dd><span itemprop="http://purl.org/dc/terms/creator">Wil Wheaton</span></dd>
 <dt>Format</dt>
 <dd itemprop="http://purl.org/vocab/frbr/core#realization"
     itemscope
     itemtype="http://purl.org/vocab/frbr/core#Expression"
     itemid="http://purl.oreilly.com/products/9780596007683.BOOK">
  <link itemprop="http://purl.org/dc/terms/type" href="http://purl.oreilly.com/product-types/BOOK">
  Print
 </dd>
 <dd itemprop="http://purl.org/vocab/frbr/core#realization"
     itemscope
     itemtype="http://purl.org/vocab/frbr/core#Expression"
     itemid="http://purl.oreilly.com/products/9780596802189.EBOOK">
  <link itemprop="http://purl.org/dc/terms/type" href="http://purl.oreilly.com/product-types/EBOOK">
  Ebook
 </dd>
</dl>
        Note that the JSON-LD representation of the Microdata information stays true to the desires of the Microdata community to avoid contexts and instead refer to items by their full IRI.
[
  {
    "@id": "http://purl.oreilly.com/works/45U8QJGZSQKDH8N",
    "@type": "http://purl.org/vocab/frbr/core#Work",
    "http://purl.org/dc/terms/title": "Just a Geek",
    "http://purl.org/dc/terms/creator": "Wil Wheaton",
    "http://purl.org/vocab/frbr/core#realization":
    [
      {"@id": "http://purl.oreilly.com/products/9780596007683.BOOK"},
      {"@id": "http://purl.oreilly.com/products/9780596802189.EBOOK"}
    ]
  }, {
    "@id": "http://purl.oreilly.com/products/9780596007683.BOOK",
    "@type": "http://purl.org/vocab/frbr/core#Expression",
    "http://purl.org/dc/terms/type": {"@id": "http://purl.oreilly.com/product-types/BOOK"}
  }, {
    "@id": "http://purl.oreilly.com/products/9780596802189.EBOOK",
    "@type": "http://purl.org/vocab/frbr/core#Expression",
    "http://purl.org/dc/terms/type": {"@id": "http://purl.oreilly.com/product-types/EBOOK"}
  }
]
        This section has been submitted to the Internet Engineering Steering Group (IESG) for review, approval, and registration with IANA.
profileA non-empty list of space-separated URIs identifying specific
            constraints or conventions that apply to a JSON-LD document according to [RFC6906].
            A profile does not change the semantics of the resource representation
            when processed without profile knowledge, so that clients both with
            and without knowledge of a profiled resource can safely use the same
            representation. The profile parameter MAY be used by
            clients to express their preferences in the content negotiation process.
            If the profile parameter is given, a server SHOULD return a document that
            honors the profiles in the list which are recognized by the server.
            It is RECOMMENDED that profile URIs are dereferenceable and provide
            useful documentation at that URI. For more information and background
            please refer to [RFC6906].
This specification defines three values for the profile parameter.
            To request or specify expanded JSON-LD document form,
            the URI http://www.w3.org/ns/json-ld#expanded SHOULD be used.
            To request or specify compacted JSON-LD document form,
            the URI http://www.w3.org/ns/json-ld#compacted SHOULD be used.
            To request or specify flattened JSON-LD document form,
            the URI http://www.w3.org/ns/json-ld#flattened SHOULD be used.
            Please note that, according [HTTP11], the value of the profile
            parameter has to be enclosed in quotes (") because it contains
            special characters and, if multiple profiles are combined, whitespace.
When processing the "profile" media type parameter, it is important to note that its value contains one or more URIs and not IRIs. In some cases it might therefore be necessary to convert between IRIs and URIs as specified in section 3 Relationship between IRIs and URIs of [RFC3987].
Since JSON-LD is intended to be a pure data exchange format for
        directed graphs, the serialization SHOULD NOT be passed through a
        code execution mechanism such as JavaScript's eval()
        function to be parsed. An (invalid) document may contain code that,
        when executed, could lead to unexpected side effects compromising
        the security of a system.
When processing JSON-LD documents, links to remote contexts are typically followed automatically, resulting in the transfer of files without the explicit request of the user for each one. If remote contexts are served by third parties, it may allow them to gather usage patterns or similar information leading to privacy concerns. Specific implementations, such as the API defined in the JSON-LD 1.1 Processing Algorithms and API specification [JSON-LD11-API], may provide fine-grained mechanisms to control this behavior.
JSON-LD contexts that are loaded from the Web over non-secure connections, such as HTTP, run the risk of being altered by an attacker such that they may modify the JSON-LD active context in a way that could compromise security. It is advised that any application that depends on a remote context for mission critical purposes vet and cache the remote context before allowing the system to use it.
Given that JSON-LD allows the substitution of long IRIs with short terms, JSON-LD documents may expand considerably when processed and, in the worst case, the resulting data might consume all of the recipient's resources. Applications should treat any data with due skepticism.
Fragment identifiers used with application/ld+json are treated as in RDF syntaxes, as per RDF 1.1 Concepts and Abstract Syntax [RDF11-CONCEPTS].
Consider requirements from Self-Review Questionnaire: Security and Privacy.
This section is non-normative.
The following is a list of issues open at the time of publication.
Consider using "@type": "@json" to describe native values in the compact form.
Allows a term definition to include an @values block to describe structured values, such as for GeoJSON.
When requesting JSON-LD from an HTTP endpoint, it would be useful to provide a reference to a context or frame which should be used by the server to put the results into the proper format.
Provide a means for refering to a remote context without without requiring it to be downloaded.
Consider a container type, similar to @list for encoding things like schema:ItemList serializations, when the values are schema:ListItem and order is set through schema:position.
Consider the opposite of "@container": "@set"; this would be when there is exactly one entry in an @list, instead of compacting to an array, compact to a single item.
It would be useful if JSON-LD recognized  both value (rdf:nil) and list ([]).
Consider a mechanism such as Microdata's @itemref for including objects within another referencing node.
Mechinism to allow freezing terms so that additional contexts don't override them.
Should consider html>head>base@href and xml:base, as appropriate.
Update terminology in the spec from IRI to URL.
For every example, there should be an equivalent of the example in the expanded form, in a table with the triples, in [Turtle] (as close to the JSON-LD structure as possible) and, possibly, as graphs. Not all of them would appear on the screen at the same time but, rather, the reader could choose what to see with some tabs.
One of the difficulties in JSON-LD (imho) is that it is difficult to express a more complex graph, namely one that have several "roots" (I know this is not the precise term.). Almost all the examples in the document and elsewhere show the examples where there is one top-level object with an ID and things hang from there (not really a tree, but a bit "tree-like").
We should make it clearer that JSON-LD is capable to do more, in particular in the formal sections, ie, when defining the data model. In practice, Figure 1 should not suggest that the data model is only "tree-like". Alternatively, there should be a Figure 2 showing a different case where it is not the case.
Proposal is to start from scratch, ie, deprecating @graph and replacing the functionality with something cleaner.
"@version": [1.1, "amazingExtensionFoo", "nicheExtensionBar"] - processors throw if they don't understand every extension listed.Ensure that the output is consistent in shape. Thus if there can ever be multiple values, the structure is always an array.
This is one of the major things that makes JSON-LD out of step with the RDF data model, and it's not clear if the feature is used or valuable. IIRC, the original issue was making it easy to support mapping ad-hoc JSON structures without creating IRIs, but the use of @vocab, and document-relative IRIs for properties would seem to obviate the need for this.
This would likely prohibit the direct use of blank node identifiers in the property position, as well as the mapping of terms to blank node identifiers.
Downsides: another area of potential incompatibility with JSON-LD 1.0. A backwards-compatible solution would be to preserve the feature, but mark it archaic. This might cause warnings to be generated if encountered with a processor running in 1.1 mode.
From discussion of #31, minuted here, the agreement was to revise the wording around type coercion to make it clearer that it applies only to data types, and not to the creation or manipulation of rdf:type triples in the data.
Consider best practices around the documentation of contexts and frames.
Options include:
To be considered during CR/PR phase as best practices. WG consensus is not to pursue this as a normative requirement.
It would be super nice to have JSON-LD Playground links available alongside any example which is itself complete JSON-LD (and doesn't contain elided sections/contents).
If this is something of interest to folks, I'm happy to add them "by hand" or look at automating the addition of the links (though I think that the elided scenarios might break that approach).
Anyhow. I think it'd be useful. 
Consider issues surrounding confusion of differing expansion rules for @id, @type, and dictionary members.
Require JSON-LD processors to be able to identify and extract JSON-LD from a script tag with type application/ld+json within an HTML document.
Instead of normatively requiring an initial context, such as RDFa does, instead JSON-LD has the ability to import contexts. This approach means that the existing context rules are followed, and the best practice context can be updated over time as new norms emerge in the community. If the best practice context is not useful to a particular community, then they don't need to import it.
This section is non-normative.
@version member which is used to set the processing mode.@context property, which defines a context used for values of
      a property identified with such a term.@container values within an expanded term definition may now
      include @id, @graph and @type, corresponding to id maps and type maps.@nest property, which identifies a term expanding to
      @nest which is used for containing properties using the same
      @nest mapping. When expanding, the values of a property
      expanding to @nest are treated as if they were contained
      within the enclosing node object directly.@none key, but
      JSON-LD 1.0 only allowed string keys. This has been updated
      to allow @none keys.@container in an expanded term definition
      can also be an array containing any appropriate container
      keyword along with @set (other than @list).
      This allows a way to ensure that such property values will always
      be expressed in array form.@prefix member with the value true. The 1.0 algorithm has
      been updated to only consider terms that map to a value that ends with a URI
      gen-delim character.@container set to @graph are interpreted as
      implicitly named graphs, where the associated graph name is
      assigned from a new blank node identifier. Other combinations
      include ["@container", "@id"], ["@container", "@index"] each also
      may include "@set", which create maps from the
      graph identifier or index value similar to index maps
      and id maps."") has been added as a possible value for @vocab in
      a context. When this is set, vocabulary-relative IRIs, such as the
      keys of node objects, are expanded or compacted relative
      to the base IRI using string concatenation.Additionally, see section G. Changes since JSON-LD Community Group Final Report.
This section is non-normative.
@type, or an alais of @type, may now have their @container set to @set
      to ensure that @type members are always represented as an array. This
      also allows a term to be defined for @type, where the value MUST be a dictionary
      with @container set to @set.This section is non-normative.
This 1.1 version of the specification is a product of deliberations by the members of the JSON-LD 1.1 Working Group chaired by Robert Sanderson and Benjamin Young along with members of the Working Group: Adam Soroka, Alejandra Gonzalez Beltran, Axel Polleres, Christopher Allen, Dan Brickley, Dave Longley, David Lehn, David Newbury, Harold Solbrig, Ivan Herman, Jeff Mixter, Leonard Rosenthol, Manu Sporny, Matthias Kovatsch, Sebastian Käbisch, Simon Steyskal, Steve Blackmon, Timothy Cole, Victor Charpenay, and Gregg Kellogg.
A large amount of thanks goes out to the JSON-LD Community Group participants who worked through many of the technical issues on the mailing list and the weekly telecons: Chris Webber, David Wood, Drummond Reed, Eleanor Joslin, Farbian Gandon, Herm Fisher, Jamie Pitts, Kim Hamilton Duffy, Niklas Lindström, Paolo Ciccarese, Paul Frazze, Paul Warren, Rego Gmür, Rob Trainer, Ted Thibodeau Jr., and Victor Charpenay.
For the 1.0 version of the specification
The authors would like to extend a deep appreciation and the most sincere thanks to Mark Birbeck, who contributed foundational concepts to JSON-LD via his work on RDFj. JSON-LD uses a number of core concepts introduced in RDFj, such as the context as a mechanism to provide an environment for interpreting JSON data. Mark had also been very involved in the work on RDFa as well. RDFj built upon that work. JSON-LD exists because of the work and ideas he started nearly a decade ago in 2004.
A large amount of thanks goes out to the JSON-LD Community Group participants who worked through many of the technical issues on the mailing list and the weekly telecons - of special mention are François Daoust, Stéphane Corlosquet, Lin Clark, and Zdenko 'Denny' Vrandečić.
The work of David I. Lehn and Mike Johnson are appreciated for reviewing, and performing several early implementations of the specification. Thanks also to Ian Davis for this work on RDF/JSON.
Thanks to the following individuals, in order of their first name, for their input on the specification: Adrian Walker, Alexandre Passant, Andy Seaborne, Ben Adida, Blaine Cook, Bradley Allen, Brian Peterson, Bryan Thompson, Conal Tuohy, Dan Brickley, Danny Ayers, Daniel Leja, Dave Reynolds, David Booth, David I. Lehn, David Wood, Dean Landolt, Ed Summers, elf Pavlik, Eric Prud'hommeaux, Erik Wilde, Fabian Christ, Jon A. Frost, Gavin Carothers, Glenn McDonald, Guus Schreiber, Henri Bergius, Jose María Alvarez Rodríguez, Ivan Herman, Jack Moffitt, Josh Mandel, KANZAKI Masahide, Kingsley Idehen, Kuno Woudt, Larry Garfield, Mark Baker, Mark MacGillivray, Marko Rodriguez, Marios Meimaris, Matt Wuerstl, Melvin Carvalho, Nathan Rixham, Olivier Grisel, Paolo Ciccarese, Pat Hayes, Patrick Logan, Paul Kuykendall, Pelle Braendgaard, Peter Patel-Schneider, Peter Williams, Pierre-Antoine Champin, Richard Cyganiak, Roy T. Fielding, Sandro Hawke, Simon Grant, Srecko Joksimovic, Stephane Fellah, Steve Harris, Ted Thibodeau Jr., Thomas Steiner, Tim Bray, Tom Morris, Tristan King, Sergio Fernández, Werner Wilms, and William Waites.