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Design and implementation of efficient storage schemas and low-level storage manager for GML documents

    Research output: Contribution to conferenceConference paperpeer-review

    Abstract

    GML is a markup language presented as exchange standard for geographic information by the OGC (Open GIS Consortium). In spatial network databases, researches for supporting GML (Geographic Markup Language) can be divided into parsing, storing and retrieval of GML documents. Among them, the study on the storage of GML documents is essential for their efficient retrieval. However there is little research on the storing of GML documents whereas there have been a lot of researches on the storing of XML documents. Because the storage schema designed for XML documents are not appropriate for geographic information, we, in this paper, propose three storage schemas for efficiently storing GML documents including geographic information in order to solve the problem that the XML storage schema store duplicate data and need to search many tables for obtaining elements. In addition, we design and implement a storage manager which can store GML documents using proposed GML storage schema.

    Original languageEnglish
    Title of host publicationProceedings of the 2009 3rd International Conference on Research Challenges in Information Science, RCIS 2009
    Pages31-38
    Number of pages8
    DOIs
    StatePublished - 2009
    Event2009 3rd International Conference on Research Challenges in Information Science, RCIS 2009 - Fez, Morocco
    Duration: 2009.04.222009.04.24

    Publication series

    NameProceedings of the 2009 3rd International Conference on Research Challenges in Information Science, RCIS 2009

    Conference

    Conference2009 3rd International Conference on Research Challenges in Information Science, RCIS 2009
    Country/TerritoryMorocco
    CityFez
    Period09.04.2209.04.24

    Keywords

    • Component
    • GML document
    • LBS
    • Storage manager
    • Storage schema

    Quacquarelli Symonds(QS) Subject Topics

    • Computer Science & Information Systems
    • Data Science

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