Paper Info
Title
SYMBIOS: A Semantic Pervasive Services Platform for Biomedical Information Integration
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.
Year
DOI
Venue
2008
10.1007/978-3-540-69731-2_90
ICAISC
Keywords
Field
DocType
semantic pervasive service,interacting proteins,fully-fledged biomedical information integration,biomedical information,munich information center,biomedical research,intelligent application,intelligent integration,biomedical publications database,biomedical information integration,semantic pervasive services platform,service oriented architecture,proof of concept,protein sequence,information integration
Information integration,World Wide Web,Munich Information Center for Protein Sequences,Computer science,Gene ontology,Semantic heterogeneity,MEDLINE,Semantics,Service-oriented architecture,The Internet
Conference
Volume
ISSN
Citations 
5097
0302-9743
0
PageRank 
References 
Authors
0.34
3
6
Name
Order
Citations
PageRank
Myriam Mencke11148.63
Ismael Rivera211210.33
Juan Miguel Gómez37411.62
Giner Alor-Hernandez4549.40
Rubén Posada-Gómez588.35
Ying Liu6141791.19