Temporal views over rdf data

12 years 5 months ago
Temporal views over rdf data
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. Categories and Subject Descriptors D.2.11 [Software Architectures] D.2.13 [Reusable Software] General Terms Languages, Performance, Experimentation, Design Keywords Semantic Web, views, time varying data, sensors, RDF, OWL, networking, data, Jena, Joseki, SPARQL, ontology, snapshots
Craig Sayers, Geetha Manjunath, K. S. Venugopal, R
Added 21 Nov 2009
Updated 21 Nov 2009
Type Conference
Year 2008
Where WWW
Authors Craig Sayers, Geetha Manjunath, K. S. Venugopal, R. Badrinath
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