Temporal views over rdf data

  • Authors:
  • Geetha Manjunath;R Badrinath;Craig Sayers;Venugopal K. S

  • Affiliations:
  • Hewlett Packard Company, Bangalore, India;Hewlett Packard Company, Bangalore, India;Hewlett Packard Company, Palo Alto, CA, USA;Hewlett Packard Company, Bangalore, India

  • Venue:
  • Proceedings of the 17th international conference on World Wide Web
  • Year:
  • 2008

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Abstract

Supporting fast access to large RDF stores has been one of key challenges for enabling use of the Semantic Web in real-life applications, more so in sensor-based systems where large amounts of historic data needs to be stored. We propose a semantics-based temporal view mechanism that enables faster access to time-varying data by caching into memory only the required subset of RDF triples. We describe our experience of implementing such a framework in the context of a wide area network monitoring system. Our preliminary results show that our solution significantly improves client access time and scales well for moderate data sets.