Polynomial rewritings from expressive Description Logics with closed predicates to variants of Datalog

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摘要

In many scenarios, complete and incomplete information coexist. For this reason, the knowledge representation and database communities have long shown interest in simultaneously supporting the closed- and the open-world views when reasoning about logic theories. Here we consider the setting of querying possibly incomplete data using logic theories, formalized as the evaluation of an ontology-mediated query (OMQ) that pairs a query with a theory, sometimes called an ontology, expressing background knowledge. This can be further enriched by specifying a set of closed predicates from the theory that are to be interpreted under the closed-world assumption, while the rest are interpreted with the open-world view. In this way we can retrieve more precise answers to queries by leveraging the partial completeness of the data.

论文关键词:Description Logics,Datalog,Closed predicates,Ontology-mediated query answering,Query rewriting,Succinctness,Relative expressiveness

论文评审过程:Received 10 April 2018, Revised 28 November 2019, Accepted 5 December 2019, Available online 16 December 2019, Version of Record 30 December 2019.

论文官网地址:https://doi.org/10.1016/j.artint.2019.103220