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GO Guide : Browser & Query Translation for Biological Ontology  

Jung Jun-Won (서울대학교 전기.컴퓨터공학부)
Park Hyoung-Woo (서울대학교 전기.컴퓨터공학부)
Im Dong-Hhyuk (서울대학교 전기.컴퓨터공학부)
Lee Kang-Pyo (서울대학교 전기.컴퓨터공학부)
Kim Hyoung-Joo (서울대학교 전기.컴퓨터공학부)
Publication Information
Journal of KIISE:Computing Practices and Letters / v.12, no.3, 2006 , pp. 183-191 More about this Journal
Abstract
As genetic research is getting more active, data construction of genes are needed in the field of biology. Therefore, Gene Ontology Consortium has constructed genetic information by OWL, which is Ontology description language published by W3C. However, previous browsers for Gene Ontology only support simple searching mechanisms based on keyword, tree, and graph, but it is not able to search high quality information considering various relationships. In this paper, we suggest browsing technique which integratesvarious searching methods to support researchers who are doing actually experiment in biology field. Also, instead of typing a query, we propose querv generation technique which constructs query while browsing and query translation technique which translate generated query into SeRQL query It is convenient for user and enables user to obtain high quality information. And by this GO Guide browser, it has been shown that the information of Gene Ontology could be used efficiently.
Keywords
Ontology; Gene Ontology; Browser; Bioinformatics;
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