POWDER and the multi million-triple store

  • Authors:
  • Stasinos Konstantopoulos;Phil Archer

  • Affiliations:
  • Institute of Informatics and Telecommunications, NCSR 'Demokritos', Athens, Greece;i-sieve Technologies Athens, Greece

  • Venue:
  • Proceedings of the International Workshop on Semantic Web Information Management
  • Year:
  • 2011

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Abstract

In this paper we present and discuss the implementation and deployment of the Protocol for Web Description Resources (POWDER) W3C Recommendation for a large RDF repository containing millions of triples. POWDER enables taking advantage of natural groupings of URIs and their reflection on the denoted things' properties; our application implements a POWDER service that intercepts the API between the RDF store and the inference layer above it and provides annotations that appear as explicit statements to the inference service. The approach is tested on a multi million-triple store of news documents and events, where it achieves dramatic savings on storage space without impacting querying time.