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. © 2008 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Mencke, M., Rivera, I., Gómez, J. M., Alor-Hernandez, G., Posada-Gómez, R., & Liu, Y. (2008). SYMBIOS: A semantic pervasive services platform for biomedical information integration. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5097 LNAI, pp. 951–962). https://doi.org/10.1007/978-3-540-69731-2_90
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