BIROn - Birkbeck Institutional Research Online

    Expressive languages for path queries over graph-structured data

    Barcelo, P. and Libkin, L. and Lin, A.W. and Wood, Peter T. (2012) Expressive languages for path queries over graph-structured data. ACM Transactions on Database Systems 37 (4), ISSN 0362-5915.

    [img] Text (Refereed)
    ptw-tods.pdf - Author's Accepted Manuscript
    Restricted to Repository staff only

    Download (560kB)

    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 relationships 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 add arithmetic constraints on the lengths of paths and numbers of occurrences of labels.

    Metadata

    Item Type: Article
    School: Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences
    Research Centres and Institutes: Birkbeck Knowledge Lab
    Depositing User: Peter Wood
    Date Deposited: 24 Jan 2013 10:05
    Last Modified: 09 Aug 2023 12:32
    URI: https://eprints.bbk.ac.uk/id/eprint/5798

    Statistics

    Activity Overview
    6 month trend
    3Downloads
    6 month trend
    283Hits

    Additional statistics are available via IRStats2.

    Archive Staff Only (login required)

    Edit/View Item Edit/View Item