The design and implementation of minimal RDFS backward reasoning in 4store
ESWC'11 Proceedings of the 8th extended semantic web conference on The semanic web: research and applications - Volume Part II
The 2012 international workshop on web-scale knowledge representation, retrieval, and reasoning
Proceedings of the 21st ACM international conference on Information and knowledge management
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This paper describes the design and implementation of backward chained clustered RDFS reasoning in 4store. The system presented, called “4s-reasoner”, adds no overhead to the import phase and yet performs reasonably well at the query phase. We also demonstrate that our solution scales over clusters of commodity servers providing an optimal solution that balances infrastructure cost and performance over tested data sets with up to 500M triples. In addition we have shared our implementation under GNU license and a first release is available to be used by the community.