Title: S-SoDiA: a semantic enabled social diagnosis advisor

Authors: Angel Garcia-Crespo, Ricardo Colomo-Palacios, Juan Miguel Gomez-Berbis, Javier Chamizo, Maria Dolores Mendoza-Cembranos

Addresses: Computer Science Department, Universidad Carlos III de Madrid, Avda. de la Universidad 30, Leganes, Madrid, Spain. ' Computer Science Department, Universidad Carlos III de Madrid, Avda. de la Universidad 30, Leganes, Madrid, Spain. ' Computer Science Department, Universidad Carlos III de Madrid, Avda. de la Universidad 30, Leganes, Madrid, Spain. ' Strands, Pza. Pablo Ruiz Picasso, 1, 27-A, Madrid, Spain. ' Medicine Faculty, Universidad Complutense de Madrid, Ciudad Universitaria, Madrid, Spain

Abstract: Medical information systems have recently gained momentum as a proof-of-concept of the efficiency of new support-oriented technologies, in particular, semantic technologies. In principle, diagnosis or medicine advisory and recommendation can change the current biomedical IT landscape, providing intelligent reasoning and inference support. This paper presents S-SoDiA, a social diagnosis advisor based on semantics, which aims at bridging the gap between state of the art ad-hoc e-health applications and intelligent diagnosis decision support systems.

Keywords: light-weight ontology; semantic web; Web 2.0; Medicine 2.0; semantics; medical information systems; medical diagnosis; medical advice; biomedical IT; information technology; intelligent reasoning; inference support; social diagnosis advisor; ad-hoc e-health; electronic healthcare; intelligent diagnosis; decision support systems; DSS.

DOI: 10.1504/IJSSS.2010.033492

International Journal of Society Systems Science, 2010 Vol.2 No.3, pp.242 - 254

Available online: 02 Jun 2010 *

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