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    Ontology querying: datalog strikes back

    Calì, Andrea (2017) Ontology querying: datalog strikes back. In: Ianni, G. and Lembo, D. and Bertossi, L. and Faber, W. and Glimm, B. and Gottlob, G. and Staab, S. (eds.) Reasoning Web. Semantic Interoperability on the Web. Lecture Notes in Computer Science 10370 10370. Springer, pp. 64-67. ISBN 9783319610320.

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    Abstract

    In this tutorial we address the problem of ontology querying, that is, the problem of answering queries against a theory constituted by facts (the data) and inference rules (the ontology). A varied landscape of ontology languages exists in the scientific literature, with several degrees of complexity of query processing. We argue that Datalog±, a family of languages derived from Datalog, is a powerful tool for ontology querying. To illustrate the impact of this comeback of Datalog, we present the basic paradigms behind the main Datalog± as well as some recent extensions. We also present some efficient query processing techniques for some cases.

    Metadata

    Item Type: Book Section
    School: Birkbeck Schools and Departments > School of Business, Economics & Informatics > Computer Science and Information Systems
    Depositing User: Administrator
    Date Deposited: 18 Aug 2017 09:24
    Last Modified: 08 Sep 2017 08:02
    URI: http://eprints.bbk.ac.uk/id/eprint/19422

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