Quality Checking and Matching Linked Dictionary Data

Kun Ji, Shanshan Wang, Lauri Henrik Carlson

    Forskningsoutput: Kapitel i bok/rapport/konferenshandlingKonferensbidragVetenskapligPeer review


    The growth of web accessible dictionary and term data has led to a proliferation
    of platforms distributing the same lexical resources in different combinations
    and packagings. Finding the right word or translation is like finding a needle in
    a haystack. The quantity of the data is undercut by the redundancy and doubtful quality of the resources. In this paper, we develop ways to assess the quality of multilingual lexical web and linked data resources by internal consistency. Concretely, we deconstruct Princeton WordNet [1] to its component word senses or word labels, with the properties they have or inherit from their synsets, and see to what extent these properties allow reconstructing the synsets they came from. The methods developed should then be applicable to aggregation of term data coming from different term sources - to find which entries coming from different sources could be similarly pooled together, to cut redundancy and improve coverage and reliability. The multilingual dictionary BabelNet [2] can be used for evaluation. We restrain our current research to dictionary data and improving language models rather than introducing external sources.
    Titel på värdpublikation15th International Semantic Web Conference (ISWC 2016) : the 11th International Workshop on Ontology Matching
    RedaktörerPavel Shvaiko, Jérôme Euzenat, Ernesto Jiménez-Ruiz, Michelle Cheatham, Oktie Hassanzadeh, Ryutaro Ichise
    Antal sidor2
    Utgivningsdatum22 okt. 2016
    StatusPublicerad - 22 okt. 2016
    MoE-publikationstypA4 Artikel i en konferenspublikation
    EvenemangInternational Semantic Web Conference - Kobe, Japan
    Varaktighet: 17 okt. 201621 okt. 2016
    Konferensnummer: 15


    NamnCEUR workshop proceedings
    ISSN (elektroniskt)1613-0073


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