Upgrading relational legacy data to the semantic web
Proceedings of the 15th international conference on World Wide Web
Tractable Reasoning and Efficient Query Answering in Description Logics: The DL-Lite Family
Journal of Automated Reasoning
Triplify: light-weight linked data publication from relational databases
Proceedings of the 18th international conference on World wide web
Can RDB2RDF Tools Feasibily Expose Large Science Archives for Data Integration?
ESWC 2009 Heraklion Proceedings of the 6th European Semantic Web Conference on The Semantic Web: Research and Applications
Semantics preserving SPARQL-to-SQL translation
Data & Knowledge Engineering
A complete translation from SPARQL into efficient SQL
IDEAS '09 Proceedings of the 2009 International Database Engineering & Applications Symposium
Ultrawrap: SPARQL execution on relational data
Web Semantics: Science, Services and Agents on the World Wide Web
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R2RML is used to specify transformations of data available in relational databases into materialised or virtual RDF datasets. SPARQL queries evaluated against virtual datasets are translated into SQL queries according to the R2RML mappings, so that they can be evaluated over the underlying relational database engines. In this paper we describe an extension of a well-known algorithm for SPARQL to SQL translation, originally formalised for RDBMS-backed triple stores, that takes into account R2RML mappings. We present the result of our implementation using queries from a synthetic benchmark and from three real use cases, and show that SPARQL queries can be in general evaluated as fast as the SQL queries that would have been generated by SQL experts if no R2RML mappings had been used.