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This paper presents an algorithm for on-demand translation of RDF queries that allows to map any relational data structure to RDF model, and to perform queries over a combination of mapped relational data and arbitrary RDF triples with a performance comparable to that of relational systems. Query capabilities implemented by the algorithm include optional and negative graph patterns, nested sub-patterns, and limited RDFS and OWL inference backed by database triggers.
Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on (Volume:3 )
Date of Conference: 20-22 Nov. 2009