This paper discusses RDF related work in the context of OpenLink Virtuoso, a general purpose relational / federated database and applications platform. The use cases are dual 1. large RDF repositories 2. making arbitrary relational data queriable with SPARQL and RDF by mapping on demand. We discuss adapting a relational engine for native RDF support with dedicated data types, bitmap indexing and SQL optimizer techniques. We discuss adaptations of the query engine for running on shared nothing clusters, providing virtually unbounded scalability for RDF or relational warehouses. We further discuss mapping existing relational data into RDF for SPARQL access without converting the data into physical triples. We present conclusions and metrics as well as a number of use cases, from DBpedia to bio informatics and collaborative web applications.
Keywords
- Query Optimization
- SPARQL Query
- Triple Store
- Bitmap Index
- Federate Database
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.