Difference between revisions of "RDFSharp"

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  | SWTechnology2=SPARQL
  | SWTechnology2=SPARQL
  | SWTechnology3=RDFS
  | SWTechnology3=RDFS
| SWTechnology4=OWL
  | Category1=API
  | Category1=API
  | Category2=Programming Environment
  | Category2=Programming Environment
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* <b>SEMANTICS (<i>under development</i>)</b>
* <b>SEMANTICS (<i>under development</i>)</b>
** Create, manage and exchange <u>RDF ontologies</u> (classes, properties, facts, ...);
** Create, manage and validate <u>RDF ontologies</u> (classes, properties, constraints, facts, ...);
** Create and execute <u>RDFS/OWL</u> reasoners on them, materializing inferred RDF data;
** Create and execute <u>RDFS/OWL</u> reasoners on them, materializing inferred RDF data;

Revision as of 15:03, 14 July 2014


Name of the tool: RDFSharp
Home page: http://rdfsharp.codeplex.com
Date of latest release:
Programming language(s) that can be used with the tool: .Net, C-sharp
Relevant semantic web technologies: RDF, SPARQL, RDFS
Categories: API, Programming Environment, Triplestore
See also:
Public mailing list:
Preferred project URI:
DOAP reference:
Company or institution:

(Tool description last modified on 2014-07-14.)


RDFSharp is a lightweight open source C# framework designed to ease the creation of .NET applications based on the RDF model, representing a straightforward didactic solution for start playing with RDF and Semantic Web concepts. With RDFSharp it is possible to draft .NET applications capable of modeling, storing and querying RDF data.

RDFSharp has a modular API made up of four layers:

    • Create and manage RDF models (resources, literals, triples, graphs, namespaces, datatypes, ...);
    • Exchange them using standard RDF formats (NTriples, TriX, Turtle, RDF/XML);
    • Create and manage RDF stores backing on memory or on different SQL engines (Firebird, MySQL, SQLite, SQL Server);
    • Create and manage RDF federations as virtual stores giving integrated query access to multiple stores;
    • Create and execute SPARQL queries on graphs, stores and federations to fluently query RDF data;
  • SEMANTICS (under development)
    • Create, manage and validate RDF ontologies (classes, properties, constraints, facts, ...);
    • Create and execute RDFS/OWL reasoners on them, materializing inferred RDF data;