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.
|Book series||International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences|
|Number of pages||6|
|Publication status||Published - 2012|
|Event||The XXII Congress of the International Society for Photogrammetry and Remote Sensing - Melbourne Convention and Exhibition Center, Melbourne, Australia|
Duration: 25 Aug 2012 → 1 Sep 2012
|Conference||The XXII Congress of the International Society for Photogrammetry and Remote Sensing|
|Location||Melbourne Convention and Exhibition Center|
|Period||25/08/2012 → 01/09/2012|
Bibliographical noteSince 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.
- Public health
- Respiratory diseases
- Geospatical data
- Semantic interoperability