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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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    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.


    Item Type: Book Section
    School: Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences
    Research Centres and Institutes: Data Analytics, Birkbeck Institute for
    Depositing User: Administrator
    Date Deposited: 18 Aug 2017 09:24
    Last Modified: 09 Aug 2023 12:42


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