69 packages returned for Tags:"rdf"

dotNetRDF is a RDF, SPARQL and Semantic Web API for .Net. It provides simple but powerfully extensible APIs for this and integrates with a variety of popular triple stores.

JSON-LD processor for .NET Implements the W3C JSON-LD 1.0 standard.

dotNetRDF.Data.Virtuoso provides support for using OpenLink Virtuoso as a backend triplestore with dotNetRDF

BrightstarDB is a fast and scalable NoSQL database for .NET with code-first data model generation. This package installs the BrightstarDB libraries alone without any code-generation support.

BrightstarDB is a fast and scalable NoSQL database for .NET with code-first data model generation. This package installs the BrightstarDB libraries and the text template for generating a BrightstarDB Entity Framework context class.

.NET implementation of an RDB2RDF storage based on R2RML mapping file

dotNetRDF.Query.FullText provides Full Text SPARQL support as a plugin for the dotNetRDF Leviathan SPARQL Engine using Lucene.Net

Store RDF data on Firebird with RDFSharp

Store RDF data on MySQL with RDFSharp

Statically typed classes generated from various RDF Vocabularies or OWL Ontologies

RdfMapperNet is a .NET library to map classes to RDF triples.

Store RDF data on PostgreSQL with RDFSharp

Simple POCO object seriallization for JSON-LD

A .NET Library for the Open Physiology Rdfstore API.

Store RDF data on SQLite with RDFSharp

This package contains the platform-specific assemblies for running BrightstarDB using Portable Class Library.

Dynamically scaffolds SPARQL queries. Please visit project wiki pages https://github.com/Efimster/DynamicSPARQL/wiki

A C# implementation of R2RML, which allows creating R2RML and converting relational data to RDF using the .NET Framework

A simple tool to create NTriples from XML or JSON data.

Semiodesk Trinity is a high-level C# API for querying and manipulating RDF triplestores. Semiodesk Trinity offers a Object-Mapping mechanism which also supports all the features that makes RDF great, for example being schema-less and inferencing.