@inproceedings{Gur2012,
title = {GI Systems for Public Health with an Ontology Based Approach},
author = { Nurefsan Gur and Laura Díaz-Sánchez and Tomi Kauppinen},
editor = {Jêrome Gensel and Didier Josselin and Danny Vandenbroucke},
url = {http://hdl.handle.net/10234/159859},
isbn = {978-90-816960-0-5},
year = {2012},
date = {2012-01-01},
booktitle = {Bridging the Geographic Information Sciences International AGILE2012 Conference Avignon France april 24- 27, 2012},
pages = {86-91},
publisher = {AGILE Digital Editions},
abstract = {Public health research brings substantial benefit to society. Finding data in an efficient way is necessary to carry out relevant space time analysis to address particular studies such as mortality rates and their causes for instance due to environmental exposure. However, health-related information systems remain isolated from other systems such as those managing geospatial and environmental information making it difficult and time-consuming to study relations and patterns in multidisciplinary scenarios. In this paper we employ Linked Open Data technologies to publish health and related data. We report results of the approach with a case study to expose mortality atlas data of the Valencia Community in Spain. The results show how to overcome the lack of semantic relations between resources and published data, and how to reduce disparity and redundancy},
keywords = {geospatial data, Health applications, linked open data, ontologies},
pubstate = {published},
tppubtype = {inproceedings}
}