Difference between revisions of "RDFSharp"

From Semantic Web Standards
Jump to: navigation, search
Line 13: Line 13:
 
}}
 
}}
  
''[http://rdfsharp.codeplex.com/ RDFSharp]'' is a lightweight C# framework designed to ease the creation of .NET applications based on the <b>RDF model</b>, representing a straightforward <b>didactic</b> solution for start playing with RDF and Semantic Web concepts.
+
''[http://rdfsharp.codeplex.com/ RDFSharp]'' is a lightweight C# framework designed to ease the creation of .NET applications based on the <b>RDF model</b>, representing a straightforward <b>didactic</b> solution for start playing with RDF and Semantic Web concepts. RDFSharp has a modular API made up of four layers:
  
 
* <b>MODEL</b>
 
* <b>MODEL</b>

Revision as of 13:14, 10 January 2014

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

(Tool description last modified on 2014-01-10.)

Description

RDFSharp is a lightweight 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. RDFSharp has a modular API made up of four layers:

  • MODEL
    • Create and manage RDF models (namespaces, datatypes, resources, literals, containers, collections, triples, graphs, ...);
    • Exchange them using standard RDF formats (N-Triples, Turtle, RDF/XML, TriX);
  • STORE
    • 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;
  • QUERY
    • Create and execute SPARQL queries on graphs, stores and federations to fluently query RDF data;
  • SEMANTICS (not started)
    • Create, manage and exchange RDF-Schema and OWL-Lite ontologies;
    • Create, manage and execute RIF-Core rules to fluently leverage semantic relations between RDF data;