GI Systems for Public Health with an Ontology Based Approach

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.

Publication
In AGILE, 2012, LNGS Springer.
Date
Links

This paper based on a part of my master thesis, where the full version of the thesis can be found online.