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Erschienen in:
2011 | OriginalPaper | Buchkapitel
Context-Dependent OWL Reasoning in Sindice - Experiences and Lessons Learnt
verfasst von : Renaud Delbru, Giovanni Tummarello, Axel Polleres
Erschienen in: Web Reasoning and Rule Systems
Verlag: Springer Berlin Heidelberg
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The Sindice Semantic Web index provides search capabilities over 260 million documents. Reasoning over web data enables to make explicit what would otherwise be implicit knowledge: it adds value to the information and enables Sindice to ultimately be more competitive in terms of precision and recall. However, due to the scale and heterogeneity of web data, a reasoning engine for the Sindice system must (1) scale out through parallelisation over a cluster of machines; and (2) cope with unexpected data usage. In this paper, we report our experiences and lessons learned in building a large scale reasoning engine for Sindice. The reasoning approach has been deployed, used and improved since 2008 within Sindice and has enabled Sindice to reason over billions of triples.