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Design and implementation of a structured information retrieval system for SGML documents

    • Jeonbuk National University
    • Electronics and Telecommunications Research Institute

    Research output: Contribution to conferenceConference paperpeer-review

    Abstract

    SGML has become very popular as the source language of structured documents because its usefulness has already been verified by the CALS (Commerce At Light Speed) project. Traditional information retrieval systems (IRSs), however, cannot support retrieval based on the logical structure of SGML documents. In this paper, we design a structured IRS (SIRS) supporting both content-based retrieval and structure-based retrieval, and implement it using the O2 Store storage system with the standard C language under the UNIX operating system environment. In order to make it easy to write a user query for SIRS and to obtain SGML documents that are relevant to the query, we also implement a WWW-based user interface by using CGI. Finally, we evaluate the performance of SIRS in terms of the record insertion time, deletion time, retrieval time and storage overhead.

    Original languageEnglish
    Title of host publicationProceedings - 6th International Conference on Database Systems for Advanced Applications, DASFAA 1999
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages81-88
    Number of pages8
    ISBN (Electronic)0769500846, 9780769500843
    DOIs
    StatePublished - 1999
    Event6th International Conference on Database Systems for Advanced Applications, DASFAA 1999 - Hsinchu, Taiwan, Province of China
    Duration: 1999.04.191999.04.21

    Publication series

    NameProceedings - 6th International Conference on Database Systems for Advanced Applications, DASFAA 1999

    Conference

    Conference6th International Conference on Database Systems for Advanced Applications, DASFAA 1999
    Country/TerritoryTaiwan, Province of China
    CityHsinchu
    Period99.04.1999.04.21

    Keywords

    • index structures
    • Metadata
    • SGML information retrieval
    • SIRS

    Quacquarelli Symonds(QS) Subject Topics

    • Computer Science & Information Systems
    • Data Science

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