yOWL: An ontology-driven knowledge base for yeast biologists

被引：28

作者：

Villanueva-Rosales, Natalia ^{[2
]}

Dumontier, Michel ^{[1
,2
]}

机构：

[1] Carleton Univ, Dept Biol, Ottawa, ON K1S 5B6, Canada

[2] Carleton Univ, Sch Comp Sci, Ottawa, ON K1S 5B6, Canada

来源：

JOURNAL OF BIOMEDICAL INFORMATICS | 2008年 / 41卷 / 05期

基金：

加拿大自然科学与工程研究理事会;

关键词：

Semantic web; Data integration; Semantic query answering; Knowledge management; OWL; Ontology; Biological data; Yeast; Saccharomyces cerevisiae; Mashup;

D O I：

10.1016/j.jbi.2008.05.001

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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.

引用

页码：779 / 789

页数：11

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