Management of domain space defined semantic Web

G. Soldar, D. Smith

    Research output: Chapter in Book/Conference proceeding with ISSN or ISBNConference contribution with ISSN or ISBNpeer-review

    Abstract

    The results of scientific activities that include observations, experiments, interactions, deductions, etc. are stored in data sets which are typically kept and managed in an ad-hoc manner. It requires a substantial effort to discover and evaluate data quality and suitability for a particular analysis. The provision of appropriate metadata and links to related resources assists in finding and evaluating data sets for scientific research. This paper addresses the problem of modeling of ontologies in Semantic Web, and presents a method for describing and managing semantic information for scientific domain spaces. We have developed a semantic layer over a database management system to give support to retrieval services for data sets semantics. The conceptualization of domain spaces including the development of the vocabulary is performed using RDF model and schema constructs.

    Original languageEnglish
    Title of host publicationProceedings - 14th International Workshop on Database and Expert Systems Applications, DEXA 2003
    PublisherESRC
    Pages627-631
    Number of pages5
    ISBN (Electronic)0769519938
    DOIs
    Publication statusPublished - 2003
    Event14th International Workshop on Database and Expert Systems Applications, DEXA 2003 - Prague, Czech Republic
    Duration: 1 Sept 20035 Sept 2003

    Publication series

    NameProceedings - International Workshop on Database and Expert Systems Applications, DEXA
    Volume2003-January
    ISSN (Print)1529-4188

    Conference

    Conference14th International Workshop on Database and Expert Systems Applications, DEXA 2003
    Country/TerritoryCzech Republic
    CityPrague
    Period1/09/035/09/03

    Keywords

    • Database systems
    • Information management
    • Information retrieval
    • Management information systems
    • Ontologies
    • Resource description framework
    • Search engines
    • Semantic Web
    • Vocabulary
    • XML

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