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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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
Pages (from-to)167-172
Number of pages6
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


ConferenceThe XXII Congress of the International Society for Photogrammetry and Remote Sensing
LocationMelbourne Convention and Exhibition Center
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 for details.


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

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