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ESWS
2010
Springer

Improving the Performance of Semantic Web Applications with SPARQL Query Caching

13 years 8 months ago
Improving the Performance of Semantic Web Applications with SPARQL Query Caching
The performance of triple stores is one of the major obstacles for the deployment of semantic technologies in many usage scenarios. In particular, Semantic Web applications, which use triple stores as persistence backends, trade performance for the advantage of flexibility with regard to information structuring. In order to get closer to the performance of relational database-backed Web applications, we developed an approach for improving the performance of triple stores by caching query results and even complete application objects. The selective invalidation of cache objects, following updates of the underlying knowledge bases, is based on analysing the graph patterns of cached SPARQL queries in order to obtain information about what kind of updates will change the query result. We evaluated our approach by extending the BSBM triple store benchmark with an update dimension as well as in typical Semantic Web application scenarios.
Michael Martin, Jörg Unbehauen, Sören Au
Added 19 Jul 2010
Updated 19 Jul 2010
Type Conference
Year 2010
Where ESWS
Authors Michael Martin, Jörg Unbehauen, Sören Auer
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