Projects tagged ‘sparql’

Sesame is a Java framework for storing, querying and inferencing for RDF. It can be deployed as a web server or used as a Java library. Features include several query languages (SeRQL and SPARQL) ... [More] , inferencing support, and RAM, disk, or RDBMS storage. [Less]

rdf handling library for python

RAP is a software package for parsing, searching, manipulating, serializing and serving RDF models.

A suite of tools able to process Java libraries as RDF models.

LDAP 2 SPARQL - Accessing RDF Knowledge Bases via LDAP Clients In order to exploit the client support of LDAP directories with the semantic expressivity of RDF knowledge bases, we aim at ... [More] integrating RDF knowledge bases into LDAP directory services. LDAP 2 SPARQL is a Backend to the widely used OpenLDAP server. It translates LDAP queries into SPARQL queries, asks a SPARQL endpoint and translates the result back to LDIF. [Less]

xOperator combines advantages of social network websites with instant messaging. It tries to be a semantic agent for xmpp / jabber network which finds and shares content about resources (using RDF/SPARQL) for you and your jabber friends.

LinqToRdf provides a full-featured LINQ query provider for .NET using both local triple stores with Graph Matching and SPARQL queries on remote stores. It also provides graphical design tools for ... [More] visual studio 2008 that provide a UML style design surface for the production of both ontologies and .NET domain models. [Less]

dotNetRDF is a API for RDF written in C# 3 under .Net Framework 3.5 It allows for reading/writing of RDF in all common formats, querying over RDF data in various ways and supports a variety of ... [More] different mainstream Triple stores. Currently it supports AllegroGraph, 4store, Sesame, Talis and Virtuoso [Less]

Semantic, RDF-based wiki. Written in Python with Cherrypy and RDFlib.

API in Scala providing a DSL for writing, traversing and querying RDF graphs. Implemented as a façade to Jena, an RDF programming framework for Java.