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Integrated Semantic Querying on Distributed Bioinformatics Databases Based on GO  

Park Hyoung-Woo (서울대학교 전기. 컴퓨터공학부)
Jung Jun-Won (서울대학교 전기. 컴퓨터공학부)
Kim Hyoung-Joo (서울대학교 전기. 컴퓨터공학부)
Publication Information
Journal of KIISE:Computing Practices and Letters / v.12, no.4, 2006 , pp. 219-228 More about this Journal
Abstract
Many biomedical research groups have been trying to share their outputs to increase the efficiency of research. As part of their efforts, a common ontology named Gene Ontology(GO), which comprises controlled vocabulary for the functions of genes, was built. However, data from many research groups are distributed and most systems don't support integrated semantic queries on them. Furthermore, the semantics of the associations between concepts from external classification systems and GO are still not clarified, which makes integrated semantic query infeasible. In this paper we present an ontology matching and integration system, called AutoGOA, which first resolves the semantics of the associations between concepts semi-automatically, and then constructs integrated ontology containing concepts from GO and external classification systems. Also we describe a web-based application, named GOGuide II, which allows the user to browse, query and visualize integrated data.
Keywords
Gene Ontology; RDF; Ontology; Semantic Web;
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