BIROn - Birkbeck Institutional Research Online

    Expressive languages for path queries over graph-structured data

    Barcelo, P. and Hurtado, C.A. and Libkin, L. and Wood, Peter T. (2010) Expressive languages for path queries over graph-structured data. In: UNSPECIFIED (ed.) Proceedings of the Twenty-Ninth ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems of Data. New York, USA: ACM Publications, pp. 3-14. ISBN 9781450300339.

    Full text not available from this repository.

    Abstract

    For many problems arising in the setting of graph querying (such as finding semantic associations in RDF graphs, exact and approximate pattern matching, sequence alignment, etc.), the power of standard languages such as the widely studied conjunctive regular path queries (CRPQs) is insufficient in at least two ways. First, they cannot output paths and second, more crucially, they cannot express relations among paths. We thus propose a class of extended CRPQs, called ECRPQs, which add regular relations on tuples of paths, and allow path variables in the heads of queries. We provide several examples of their usefulness in querying graph structured data, and study their properties. We analyze query evaluation and representation of tuples of paths in the output by means of automata. We present a detailed analysis of data and combined complexity of queries, and consider restrictions that lower the complexity of ECRPQs to that of relational conjunctive queries. We study the containment problem, and look at further extensions with first-order features, and with non-regular relations that express arithmetic properties of paths, based on the lengths and numbers of occurrences of labels.

    Metadata

    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: Sarah Hall
    Date Deposited: 29 Aug 2013 14:52
    Last Modified: 09 Aug 2023 12:34
    URI: https://eprints.bbk.ac.uk/id/eprint/8058

    Statistics

    Activity Overview
    6 month trend
    0Downloads
    6 month trend
    261Hits

    Additional statistics are available via IRStats2.

    Archive Staff Only (login required)

    Edit/View Item
    Edit/View Item