BIROn - Birkbeck Institutional Research Online

    Query inseparability for description logic knowledge bases

    Botoeva, E. and Kontchakov, Roman and Ryzhikov, Vladislav and Wolter, F. and Zakharyaschev, Michael (2014) Query inseparability for description logic knowledge bases. In: Baral, C. and De Giacomo, G. and Eiter, T. (eds.) Proceedings, Fourteenth International Conference on Principles of Knowledge Representation and Reasoning (KR-14). California, U.S.: AAAI Press. ISBN 9781577356578.

    [img] Text
    KR2014-full.pdf - Author's Accepted Manuscript
    Restricted to Repository staff only

    Download (625kB) | Request a copy

    Abstract

    We investigate conjunctive query inseparability of description logic (DL) knowledge bases (KBs) with respect to a given signature, a fundamental problem for KB versioning, module extraction, forgetting and knowledge exchange. We study the data and combined complexity of deciding KB query inseparability for fragments of Horn-ALCHI, including the DLs underpinning OWL 2 QL and OWL 2 EL. While all of these DLs are P-complete for data complexity, the combined complexity ranges from P to ExpTime and 2ExpTime. We also resolve two major open problems for OWL2QL by showing that TBox query inseparability and the membership problem for universal UCQ-solutions in knowledge exchange are both ExpTime-complete for combined complexity.

    Metadata

    Item Type: Book Section
    Additional Information: 14th International Conference on Principles of Knowledge Representation and Reasoning - Vienna University of Technology, Gußhausstraße 29, Austria. July 20-24, 2014.
    School: Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences
    Depositing User: Roman Kontchakov
    Date Deposited: 11 Aug 2014 08:22
    Last Modified: 09 Aug 2023 12:35
    URI: https://eprints.bbk.ac.uk/id/eprint/10354

    Statistics

    Activity Overview
    6 month trend
    0Downloads
    6 month trend
    846Hits

    Additional statistics are available via IRStats2.

    Archive Staff Only (login required)

    Edit/View Item
    Edit/View Item