期刊
JOURNAL OF BIOMEDICAL INFORMATICS
卷 41, 期 5, 页码 779-789出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jbi.2008.05.001
关键词
Semantic web; Data integration; Semantic query answering; Knowledge management; OWL; Ontology; Biological data; Yeast; Saccharomyces cerevisiae; Mashup
资金
- CONACYT [150581]
- NSERC
Knowledge management is an ongoing challenge for the biological Community Such that large, diverse and continuously growing information requires more sophisticated methods to store, integrate and query their knowledge. The semantic web initiative provides a new knowledge engineering framework to represent, share and discover information. In this paper, we describe our efforts towards the development of an ontology-based knowledge base, including aspects from ontology design and population using semantic data mashup, to automated reasoning and semantic query answering. Based on yeast data obtained from the Saccharomyces Genome Database and UniProt, we discuss the challenges encountered during the building of the knowledge base and how they were overcome. (C) 2008 Elsevier Inc. All rights reserved.
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