Non-Spatial and Geospatial Semantic Query of Health Information

Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2012

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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
TitleInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences : XXII ISPRS Congress
Number of pages6
VolumeXXXIX-B2
Publication date2012
Pages167-172
StatePublished

Conference

ConferenceThe XXII Congress of the International Society for Photogrammetry and Remote Sensing
CountryAustralia
CityMelbourne
Period25/08/1201/09/12
Internet addresshttp://www.isprs2012.org/

Keywords

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