SYMBIOS: A Semantic Pervasive Services Platform for Biomedical Information Integration

  • Authors:

  • Myriam Mencke;Ismael Rivera;Juan Miguel Gómez;Giner Alor-Hernandez;Rubén Posada-Gómez;Ying Liu

  • Affiliations:

  • Universidad Carlos III de Madrid,;Universidad Carlos III de Madrid,;Universidad Carlos III de Madrid,;Division of Research and Postgraduate Studies, Instituto Tecnologico de Orizaba, Mexico;Division of Research and Postgraduate Studies, Instituto Tecnologico de Orizaba, Mexico;University of Texas at Dallas, United States of America

  • Venue:
  • ICAISC '08 Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing
  • Year:
  • 2006

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Abstract

Applying semantic pervasive services to Biomedical research is providing a new breed of intelligent applications which can tackle with the heterogeneity and intrinsic complexity of biomedical information integration. Using semantics leverages the potential of enabling cross-interoperability among a variety of storage and data formats widely distributed both across the Internet and within individual organizations. In this paper, we present SYMBIOS, a fully-fledged biomedical information integration solution based on semantic pervasive services that combine a Service Oriented Architecture (SOA) and semantically-empowered techniques to ascertain biomedical information intelligent integration. We discuss our approach with a proof-of-concept implementation where the breakthroughs and efficiency of integrating the biomedical publications database MEDLine, the Database of Interacting Proteins (DIP) and the Munich Information Center for Protein Sequences (MIPS) has been tested.