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A SEMANTIC SERVICE COMPOSITION MODEL FOR HEALTH GIS APPLICATIONS DEVELOPMENT


COSMIN-ION TOMOZEI 1, SIMONA-ELENA VÂRLAN 2, IULIAN FURDU 3
1. “Vasile Alecsandri" University of Bacău, Faculty of Sciences, Department of Mathematics, Informatics and Educational Sciences, Calea Mărăşeşti 157, Bacău 600115, Romania, e-mail: cosmin.tomozei@ub.ro
2. “Vasile Alecsandri" University of Bacău, Faculty of Sciences, Department of Mathematics, Informatics and Educational Sciences, Calea Mărăşeşti 157, Bacău 600115, Romania, e-mail: varlan_simona@yahoo.com
3. “Vasile Alecsandri" University of Bacău, Faculty of Sciences, Department of Mathematics, Informatics and Educational Sciences, Calea Mărăşeşti 157, Bacău 600115, Romania, e-mail: ifurdu@ub.ro

Issue:

SSRSMI, Number 1, Volume XXIII

Section:

Volume 23, Number 1

Abstract:

In the development of large scale distributed health applications, the need for adopting new technologies, such as multimedia or GIS, became more and more important. This paper describes a model for the composition of medical web services, by means of a SOA ontology, in which information is combined and process in a semantic approach. The visualization of the resulting data sets is placed on a GIS architecture, which is used for the support of decisions for health services development. In this paper we propose a Semantic Web GIS architecture using SWS technologies together with details about its practical usage and future work. The vast amount of heterogeneous data sources that a GIS practitioner have to cope with to find appropriate resources for special situations has led to a new approach in GIS application research and development. To fill the gap in discovery and share of information we need a semantic layer in GIS framework to give machine understandable meaning to services and web content. Using Semantic Web Services (SWS) we can add higher semantic level to GIS framework improving interop-erability and reasoning for better matching responses

Keywords:

GIS, semantic web services, health applications.

Code [ID]:

SSRSMI201323V23S01A0022 [0003839]

Full paper:

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