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    Datalog±: a unified approach to ontologies and integrity constraints

    Calì, Andrea and Gottlob, G. and Lukasiewicz, T. (2009) Datalog±: a unified approach to ontologies and integrity constraints. In: Fagin, R. (ed.) Proceedings of the 12th International Conference on Database Theory - ICDT '09. ACM International Conference Proceeding Series 361. New York, U.S.: ACM Publications, pp. 14-30. ISBN 9781605584232.

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    We report on a recently introduced family of expressive extensions of Datalog, called Datalog±, which is a new framework for representing ontological axioms in form of integrity constraints, and for query answering under such constraints. Datalog± is derived from Datalog by allowing existentially quantified variables in rule heads, and by enforcing suitable properties in rule bodies, to ensure decidable and efficient query answering. We first present different languages in the Datalog± family, providing tight complexity bounds for all cases but one (where we have a low complexity AC0 upper bound). We then show that such languages are general enough to capture the most common tractable ontology languages. In particular, we show that the DL-Lite family of description logics and F-Logic Lite are expressible in Datalog±. We finally show how stratified negation can be added to Datalog± while keeping ontology querying tractable in the data complexity. Datalog± is a natural and very general framework that can be successfully employed in different contexts such as data integration and exchange. This survey mainly summarizes two recent papers.


    Item Type: Book Section
    School: Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences
    Research Centres and Institutes: Birkbeck Knowledge Lab
    Depositing User: Administrator
    Date Deposited: 14 May 2013 10:09
    Last Modified: 09 Aug 2023 12:33


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