RDF Graph Model Engine

In recent times, courtesy of the Internet and general ubiquity of the World Wide Web, a new data access and management landscape has emerged, one that is very different from what existed in the late '80s. Key characteristics of this landscape include: Data Model Heterogeneity, Disparate Data Locality, User Activity Generated Data, and increased desire for Conceptual rather than Logical level oriented data access and integration.

Virtuoso enterprise grade RDF data store accommodates all of the critical success factors outlined above. Its key features include:

• Full and Partial Indexes (2+3 index)
  
  
• Backward Chaining OWL Reasoner covering: rdfs:subClassOf, rdfs:subPropertyOf, owl:sameAs, owl:equivalentClass, owl:equivalentProperty, owl:InverseFunctionalProperty, owl:inverseOf, owl:SymmetricalProperty, and owl:TransitiveProperty
  
  
• Geo Spatial Indexing
  
  
• Full Text Indexing
  
  
• Entity Ranking
  
  
• Anytime Query Functionality -- partial results capability associated with configurable response time intervals
  
  
• In-built faceted/pivot engine for navigating across Entity Type and Attribute associations within RDF model graphs
  
  
• Named Graph based Data Partitioning
  
  
• Graph Level Security
  
  
• SPARQL 1.1 Query Language, Protocol, and Results Serialization support
  
  
• SPARQL extensions for Full Text Queries, Geo Spatial Queries, Business Analytics and Intelligence, Path Expressions, Sub Queries, SQL Stored Procedure and Built-In Function exploitation from SPARQL
  
  
• SPARQL Create, Update, and Delete (SPARUL)
  
  
• "on the fly" crawling and de-referencing of Linked Data Objects via their Generic HTTP Identifiers (URIs)
  
  
• "on the fly" crawling and transformation of non RDF-Graph model data within SPARQL query processor
  
  
• FOAF+SSL or OAuth based SPARQL endpoint security
  
  
• Supports data broad range of RDF model data representation formats: HTML+RDFa, RDF-JSON, N3, Turtle, TriG, TriX, and RDF/XML
  
  
• REST interfaces for Create, Read, Update, and Delete operations
  
  
• Cluster Configuration offering Parallel and Horizontal scaling
  
  
• Failsafe High Availability for Cluster Configurations
  
  
• RDF Data is accessible also accessible via ODBC, JDBC, ADO.NET (Entity Frameworks compatible), OLE DB, and XMLA data providers / drivers.