Natural language system for terminological information retrieval

Gerardo Sierra, John McNaught

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

    Abstract

    The purpose of any information retrieval (IR) system in response to a query is to provide the user with the data that satisfy his information need. In order to design a user friendly onomasiological system (one to find a word from a description of a concept), we firstly must consider the searching process, i.e. query and matching. This paper is organised in two broad parts. The first part situates the general methodology for IR in relation to the particular problem of onomasiological searching. The second part discusses an experiment in onomasiological searching carried out on dictionaries to validate design principles for an onomasiological search system.
    Original languageEnglish
    Title of host publicationComputational Linguistics and Intelligent Text Processing
    Subtitle of host publication4th International Conference, CICLing 2003 Mexico City, Mexico, February 16–22, 2003 Proceedings
    EditorsAlexander Gelbukh
    Place of PublicationHeidelberg
    PublisherSpringer Nature
    Pages541-552
    Number of pages12
    ISBN (Electronic)9783540364566
    ISBN (Print)9783540005322
    DOIs
    Publication statusPublished - 2003

    Publication series

    NameLecture Notes in Computer Science
    PublisherSpringer-Verlag
    Volume2588

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