Difference between revisions of "RDFSharp"

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''[http://rdfsharp.codeplex.com/ RDFSharp]'' is an ''[http://opensource.org/ Open Source]'' library designed to <b>ease</b> the creation of .NET applications based on the <b>RDF data model</b>, providing users with a straightforward didactic solution for <b>start</b> playing with RDF and Semantic Web concepts. With RDFSharp it is possible to quickly draft .NET solutions capable of modeling, storing and querying RDF.
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''[http://rdfsharp.codeplex.com/ RDFSharp]'' is an ''[http://opensource.org/ Open Source]'' library designed to <b>ease</b> the creation of .NET applications based on the <b>RDF data model</b>, providing users with a straightforward <b>didactic</b> solution for <b>start</b> playing with RDF and Semantic Web concepts. With RDFSharp it is possible to learn RDF by quickly drafting solutions capable of modeling, storing and querying RDF.
  
 
* <b>MODEL</b>
 
* <b>MODEL</b>

Revision as of 17:46, 23 March 2013

RDFSharp

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
Categories: API, Programming Environment
See also:
Public mailing list:
Preferred project URI:
DOAP reference:
Company or institution:

(Tool description last modified on 2013-03-23.)

Description

RDFSharp is an Open Source library designed to ease the creation of .NET applications based on the RDF data model, providing users with a straightforward didactic solution for start playing with RDF and Semantic Web concepts. With RDFSharp it is possible to learn RDF by quickly drafting solutions capable of modeling, storing and querying RDF.

  • MODEL
    • Create and manage RDF models (namespaces, datatypes, resources, literals, containers, collections, triples, graphs, patterns, ...);
    • Exchange them using standard RDF formats (N-Triples, Turtle, RDF/XML, TriX);
  • STORE
    • Create and manage RDF stores as portable SQLite databases optimized for storage of RDF data;
    • Create and manage RDF federations as virtual stores giving integrated query access to multiple stores;
  • QUERY
    • Create and execute RDF queries on graphs, stores and federations to retrieve RDF data;
  • SEMANTICS
    • Create and execute RDF reasonings to exploit semantic relations between RDF data;