Difference between revisions of "RDFSharp"

From Semantic Web Standards
Jump to: navigation, search
Line 9: Line 9:
 
}}
 
}}
  
''[http://rdfsharp.codeplex.com/ RDFSharp]'' is an open source library designed to <b>ease</b> the creation of .NET applications based on the <b>RDF data model</b>, representing a straightforward solution for <b>start</b> playing with RDF and Semantic Web concepts.
+
''[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 solution for <b>start</b> playing with RDF and Semantic Web concepts. With RDFSharp it is possible to quickly draft and realize <i>RDF-empowered</i> .NET applications having modeling, storing, querying and light-reasoning capabilities. 
  
 
* <b>MODEL</b>
 
* <b>MODEL</b>

Revision as of 16:39, 23 January 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
Categories: API, Programming Environment
See also:
Public mailing list:
Preferred project URI:
DOAP reference:
Company or institution:

(Tool description last modified on 2013-01-23.)

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 solution for start playing with RDF and Semantic Web concepts. With RDFSharp it is possible to quickly draft and realize RDF-empowered .NET applications having modeling, storing, querying and light-reasoning capabilities.

  • 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 databases optimized for storage of RDF data;
    • Create and manage RDF federations as virtual stores giving integrated 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;