Temporal views over rdf data

13 years 10 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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