Content-based Text Querying with Ontological Descriptors

Troels Andreasen, Per Anker Jensen, Jørgen Fischer Nilsson, Patrizia Paggio, Bolette Sandford Pedersen, Hanne Erdman Thomsen

    Research output: Contribution to journalJournal articleResearchpeer-review

    Abstract

    This paper describes a method and a system for content-based querying of texts based on the availability of an ontology for the concepts in the text domain. A key principle in the system is the extraction of conceptual content of noun phrases into descriptors forming an integral part of the ontology. The retrieval of text passages rests on matching descriptors from the text against descriptors from the noun phrases in the query. The match does not need to be exact but is mediated by the ontology, invoking in particular taxonomic reasoning with sub- and super-concepts. The paper also reports on a prototype implementation of the system.
    Original languageEnglish
    JournalData and Knowledge Engineering
    Volume48
    Issue number2
    Pages (from-to)199-219
    ISSN0169-023X
    DOIs
    Publication statusPublished - 2004

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