Data on the Web Current Status

This page summarizes the relationships among specifications, whether they are finished standards or drafts. Below, each title links to the most recent version of a document.

Completed Work

W3C Recommendations have been reviewed by W3C Members, by software developers, and by other W3C groups and interested parties, and are endorsed by the Director as Web Standards. Learn more about the W3C Recommendation Track.

Group Notes are not standards and do not have the same level of W3C endorsement.



Time Ontology in OWL

The OWL-Time ontology is an OWL-2 DL ontology of temporal concepts, for describing the temporal properties of resources in the world or described in Web pages. The ontology provides a vocabulary for expressing facts about topological relations among instants and intervals, together with information about durations, and about temporal position including date-time information.


Semantic Sensor Network Ontology

The Semantic Sensor Network Ontology (commonly known as "SSN" is an ontology for describing sensors and the observations they make of the physical world. SSN is published in a modular architecture that supports the judicious use of "just enough" ontology for diverse applications, including satellite imagery, large scale scientific monitoring, industrial and household infrastructure, citizen observers, and Web of Things.


Data on the Web Best Practices

This document provides best practices related to the publication and usage of data on the Web designed to help support a self-sustaining ecosystem. Data should be discoverable and understandable by humans and machines. Where data is used in some way, whether by the originator of the data or by an external party, such usage should also be discoverable and the efforts of the data publisher recognized. In short, following these best practices will facilitate interaction between publishers and consumers.

Group Notes


Dataset Exchange Use Cases and Requirements

This document lists use cases iteratively compiled by the Dataset Exchange Working Group. They identify current shortcomings and motivate the extension of the Data Catalog Vocabulary (DCAT). Further, they motivate the creation of guidelines for and a formalisation of the concept of (application) profiles and how to describe those, and the need for a mechanism to exchange information about those profiles including profile-based content-negotiation.


Spatial Data on the Web Best Practices

This document advises on best practices related to the publication and usage of spatial data on the Web; the use of Web technologies as they may be applied to location. The best practices are intended for practitioners, including Web developers and geospatial experts, and are compiled based on evidence of real-world application.


QB4ST: RDF Data Cube extensions for spatio-temporal components

An extension to the RDF Data Cube ontology to support specification of key metadata required to interpret spatio-temporal data. QB4ST provides generalized support for numeric and other ordered references systems, particularly Spatial Reference Systems and Temporal Reference Systems.


Publishing and Using Earth Observation Data with the RDF Data Cube and the Discrete Global Grid System

This document shows how dense geospatial raster data can be represented using the W3C RDF Data Cube ontology in concert with other popular ontologies. SPARQL queries can then be served through an OGC Discrete Global Grid System for observations, coupled with a triple store for observational metadata.


Requirements for the Evaluation and Report Language (EARL) 1.0

This document describes the requirements for the scope, design and features of the Evaluation and Report Language (EARL) 1.0. The Evaluation and Report Language is a standardized format to express test results. The primary motivation for developing this language is to facilitate the exchange of test results between Web accessibility evaluation tools in a vendor neutral and platform independent format. It will also provide reusable vocabulary for generic Web quality assurance and validation purposes.


Data on the Web Best Practices: Dataset Usage Vocabulary

Datasets published on the Web are accessed and experienced by consumers in a variety of ways, but little information about these experiences is typically conveyed. Dataset publishers many times lack feedback from consumers about how datasets are used. Consumers lack an effective way to discuss experiences with fellow collaborators and explore referencing material citing the dataset. Datasets as defined by DCAT are a collection of data, published or curated by a single agent, and available for access or download in one or more formats. The Dataset Usage Vocabulary (DUV) is used to describe consumer experiences, citations, and feedback about the dataset from the human perspective.


Data on the Web Best Practices: Data Quality Vocabulary

This document provides a framework in which the quality of a dataset can be described, whether by the dataset publisher or by a broader community of users. It does not provide a formal, complete definition of quality, rather, it sets out a consistent means by which information can be provided such that a potential user of a dataset can make his/her own judgment about its fitness for purpose.


Spatial Data on the Web Use Cases & Requirements

This document describes use cases that demand a combination of geospatial and non-geospatial data sources and techniques. It underpins the collaborative work of the Spatial Data on the Web Working Groups operated by both W3C and OGC.


Data on the Web Best Practices Use Cases & Requirements

The Data on the Web Best Practices WG is faced with a substantial challenge in assessing the scope of its work, what problems it should prioritize and what level of advice is most appropriate for it to develop. A a significant amount of work therefore has gone in to collecting use cases from which requirements can be derived for all the WG's planned deliverables. The Use Case document is expected to evolve significantly in future but already today it provides a strong indication of the direction the WG is taking. Further use cases and comments are very welcome.


Below are draft documents: other Working Drafts . Some of these may become Web Standards through the W3C Recommendation Track process. Others may be published as Group Notes or become obsolete specifications.

Other Working Drafts


The Profiles Ontology

The Profiles Ontology is an RDF vocabulary to describe profiles of (one or more) standards for information resources. It describes the general pattern of narrowing the scope of a specification with additional, but consistent, constraints, and is particularly relevant to data exchange situations where conformance to such profiles is expected and carries additional context. The Profiles Ontology enables profile descriptions to specify the role of resources related to data exchange such as schemas, ontologies, rules about use of controlled vocabularies, validation tools, and guidelines. The ontology may however be used to describe the role of artifacts in any situation where constraints are made on a the usage of more general specifications.


Content Negotiation by Profile

This document describes how Internet clients may negotiate for content provided by servers according toprofiles. This is distinct from negotiating by Media Type or Language: the profile is expected to specify the content of information returned, which may be a subset of the information the responding server has about the requested resource, and may be structured in a specific way to meet interoperability requirements of a community of practice.


Extensions to the Semantic Sensor Network Ontology

The Semantic Sensor Network (SSN) ontology is an ontology for describing sensors and their observations, the involved procedures, the studied features of interest, the samples used to do so, and the observed properties, as well as actuators. This note describes some extensions to the SSN ontology to enable:

  1. linking to the ultimate feature-of-interest for an observation, act of sampling, or actuation, alongside the link to the (proximate) feature-of-interest, which might be a sample
  2. homogeneous collections of observations, in which one or more of the feature-of-interest, ultimate feature-of-interest, observed-property, procedure, sensor, phenomenon-time or result-time may be shared by all members of the collection


Data Catalog Vocabulary (DCAT) - revised edition

DCAT is an RDF vocabulary designed to facilitate interoperability between data catalogs published on the Web. This document defines the schema and provides examples for its use.