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.
Semantic Web views time varying data sensors RDF OWL networking data Jena Joseki SPARQL ontology snapshots
Geetha Manjunath R.Badrinath Craig Sayers Venugopal K S
Hewlett-Packard Labs Bangalore, India Hewlett-Packard Bangalore, India Hewlett-Packard Labs Palo Alto, US Hewlett-Packard Bangalore India
国际会议
第十七届国际万维网大会(the 17th International World Wide Web Conference)(WWW08)
北京
英文
2008-04-21（万方平台首次上网日期，不代表论文的发表时间）