Matching and Merging Anonymous Terms from Web Sources

Kun Ji, Shanshan Wang, Lauri Carlson

    Forskningsoutput: TidskriftsbidragArtikelVetenskapligPeer review

    Sammanfattning

    This paper describes a workflow of simplifying and matching special language terms in RDF generated from trawling term candidates from Web terminology sites with TermFactory, a Semantic Web framework for professional terminology. Term candidates from such sources need to be matched and eventually merged with resources already in TermFactory. While merging anonymous data, it is important not to lose track of provenance. For coding provenance in RDF, TF uses a minor but apparently novel variant of RDF reification. In addition, TF implements a toolkit of methods for dealing with graphs containing anonymous (blank) nodes.
    Originalspråkengelska
    ArtikelnummerNo.4
    TidskriftInternational journal of web and semantic technology
    Volym5
    Nummer4
    Sidor (från-till)53-69
    Antal sidor17
    StatusPublicerad - okt. 2014
    MoE-publikationstypA1 Tidskriftsartikel-refererad

    Vetenskapsgrenar

    • 222 Övrig teknik och teknologi

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