Ontological Extraction of Content for Text Querying

Jørgen Fischer Nilsson, T. Andreasen, P. Anker Jensen, P. Paggio, B. Standford Pedersen, H. Erdman Thomsen

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    Abstract

    This paper describes a method and a system OntoQuery 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 need not 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
    Title of host publicationPre-proceedings of NLDB 2002, 7th. Int. Workshop on Application of Natural Language to Information System
    Publication date2002
    Pages123-136
    DOIs
    Publication statusPublished - 2002
    Event6th International Conference on Applications of Natural Language to Information Systems - Stockholm, Sweden
    Duration: 27 Jun 200228 Jun 2002

    Conference

    Conference6th International Conference on Applications of Natural Language to Information Systems
    Country/TerritorySweden
    CityStockholm
    Period27/06/200228/06/2002
    SeriesLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume2553
    ISSN0302-9743

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