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

• Type: Conference
• Year: 2008
• Where: WWW
• Authors: Craig Sayers, Geetha Manjunath, K. S. Venugopal, R. Badrinath
• Keywords: Internet Technology, Large Rdf Stores, Moderate Data Sets, Time Varying Data, WWW 2008