Non-Spatial and Geospatial Semantic Query of Health Information

S. Gao, François Anton, Darka Mioc, H. Boley

    Research output: Contribution to journalConference articleResearchpeer-review

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    Abstract

    With the growing amount of health information and frequent outbreaks of diseases, the retrieval of health information is given more concern. Machine understanding of spatial information can improve the interpretation of health data semantics. Most of the current research focused on the non-spatial semantics of health data, using ontologies and rules. Utilizing the spatial component of health data can assist in the understanding of health phenomena. This research proposes a semantic health information query architecture that allows the incorporation of both non-spatial semantics and geospatial semantics in health information integration and retrieval.
    Original languageEnglish
    Book seriesInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
    VolumeXXXIX-B2
    Pages (from-to)167-172
    Number of pages6
    ISSN1682-1750
    Publication statusPublished - 2012
    EventThe XXII Congress of the International Society for Photogrammetry and Remote Sensing - Melbourne Convention and Exhibition Center, Melbourne, Australia
    Duration: 25 Aug 20121 Sep 2012
    http://www.isprs2012.org/

    Conference

    ConferenceThe XXII Congress of the International Society for Photogrammetry and Remote Sensing
    LocationMelbourne Convention and Exhibition Center
    Country/TerritoryAustralia
    CityMelbourne
    Period25/08/201201/09/2012
    Internet address

    Bibliographical note

    Since Volume XXXII-3/W14, 1999, the Archives are open access publications, they are published under the Creative Common Attribution 3.0 License, see publications.copernicus.org/for_authors/license_and_copyright.html for details.

    Keywords

    • Public health
    • Ontologies
    • Respiratory diseases
    • RuleML
    • Geospatical data
    • Semantic interoperability

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