Answering SPARQL Queries over Databases under OWL 2 QL Entailment Regime. We present an extension of the ontology-based data access platform Ontop that supports answering SPARQL queries under the OWL 2 QL direct semantics entailment regime for data instances stored in relational databases. On the theoretical side, we show how any input SPARQL query, OWL 2 QL ontology and R2RML mappings can be rewritten to an equivalent SQL query solely over the data. On the practical side, we present initial experimental results demonstrating that by applying the Ontop technologies—the tree-witness query rewriting, -mappings compiling R2RML mappings with ontology hierarchies, and -mapping optimisations using SQL expressivity and database integrity constraints—the system produces scalable SQL queries.

References in zbMATH (referenced in 15 articles , 1 standard article )

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  1. Fiorentino, Alessio; Zangari, Jessica; Manna, Marco: DaRLing: a Datalog rewriter for OWL 2 RL ontological reasoning under SPARQL queries (2020)
  2. Luigi Bellomarini, Georg Gottlob, Emanuel Sallinger: The Vadalog System: Datalog-based Reasoning for Knowledge Graphs (2020) arXiv
  3. Botoeva, Elena; Lutz, Carsten; Ryzhikov, Vladislav; Wolter, Frank; Zakharyaschev, Michael: Query inseparability for (\mathcalALC) ontologies (2019)
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  5. Güzel Kalayci, Elem; Brandt, Sebastian; Calvanese, Diego; Ryzhikov, Vladislav; Xiao, Guohui; Zakharyaschev, Michael: Ontology-based access to temporal data with Ontop: a framework proposal (2019)
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  11. Botoeva, Elena; Kontchakov, Roman; Ryzhikov, Vladislav; Wolter, Frank; Zakharyaschev, Michael: Games for query inseparability of description logic knowledge bases (2016)
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  14. Kontchakov, Roman; Rezk, Martin; Rodríguez-Muro, Mariano; Xiao, Guohui; Zakharyaschev, Michael: Answering SPARQL queries over databases under OWL 2 QL entailment regime (2014) ioport
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