IDEAS home Printed from https://ideas.repec.org/a/bla/jamist/v57y2006i4p564-576.html
   My bibliography  Save this article

Concept‐matching IR systems versus word‐matching information retrieval systems: Considering fuzzy interrelations for indexing Web pages

Author

Listed:
  • Pablo J. Garcés
  • José A. Olivas
  • Francisco P. Romero

Abstract

This article presents a semantic‐based Web retrieval system that is capable of retrieving the Web pages that are conceptually related to the implicit concepts of the query. The concept of “concept” is managed from a fuzzy point of view by means of semantic areas. In this context, the proposed system improves most search engines that are based on matching words. The key of the system is to use a new version of the Fuzzy Interrelations and Synonymy‐Based Concept Representation Model (FIS‐CRM) to extract and represent the concepts contained in both the Web pages and the user query. This model, which was integrated into other tools such as the Fuzzy Interrelations and Synonymy based Searcher (FISS) metasearcher and the fz‐mail system, considers the fuzzy synonymy and the fuzzy generality interrelations as a means of representing word interrelations (stored in a fuzzy synonymy dictionary and ontologies). The new version of the model, which is based on the study of the cooccurrences of synonyms, integrates a soft method for disambiguating word senses. This method also considers the context of the word to be disambiguated and the thematic ontologies and sets of synonyms stored in the dictionary.

Suggested Citation

  • Pablo J. Garcés & José A. Olivas & Francisco P. Romero, 2006. "Concept‐matching IR systems versus word‐matching information retrieval systems: Considering fuzzy interrelations for indexing Web pages," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(4), pages 564-576, February.
    • Handle: RePEc:bla:jamist:v:57:y:2006:i:4:p:564-576
    DOI: 10.1002/asi.20310
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/asi.20310
    Download Restriction: no
    File URL: https://libkey.io/10.1002/asi.20310?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:jamist:v:57:y:2006:i:4:p:564-576. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.asis.org .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.