BIROn - Birkbeck Institutional Research Online

    Query rewriting under linear EL knowledge bases

    Dimartino, Mirko and Calì, Andrea and Poulovassilis, Alexandra and Wood, Peter (2016) Query rewriting under linear EL knowledge bases. In: Ortiz, M. and Schlobach, S. (eds.) Web Reasoning and Rule Systems: 10th International Conference, RR 2016, Aberdeen, UK, September 9-11, 2016, Proceedings. Lecture Notes in Computer Science 9898. New York, U.S.: Springer, pp. 61-76. ISBN 9783319452753.

    [img]
    Preview
    Text
    paper_10.pdf - Author's Accepted Manuscript

    Download (375kB) | Preview

    Abstract

    With the adoption of the recent SPARQL 1.1 standard, RDF databases are capable of directly answering more expressive queries than simple conjunctive queries. In this paper we exploit such capabilities to answer conjunctive queries (CQs) under ontologies expressed in the description logic called linear EL-lin, a restricted form of EL. In particular, we show a query answering algorithm that rewrites a given CQ into a conjunctive regular path query (CRPQ) which, evaluated on the given instance, returns the correct answer. Our technique is based on the representation of infinite unions of CQs by non-deterministic finite-state automata. Our results achieve optimal data complexity, as well as producing rewritings straightforwardly implementable in SPARQL 1.1.

    Metadata

    Item Type: Book Section
    Additional Information: The final publication is available at Springer via the link above.
    School: Birkbeck Schools and Departments > School of Business, Economics & Informatics > Computer Science and Information Systems
    Research Centre: Innovation Management Research, Birkbeck Centre for, Bioinformatics, Bloomsbury Centre for, Birkbeck Knowledge Lab
    Depositing User: Alexandra Poulovassilis
    Date Deposited: 25 Aug 2016 14:29
    Last Modified: 08 Sep 2017 08:03
    URI: http://eprints.bbk.ac.uk/id/eprint/15734

    Statistics

    Downloads
    Activity Overview
    88Downloads
    105Hits

    Additional statistics are available via IRStats2.

    Archive Staff Only (login required)

    Edit/View Item Edit/View Item