Villanueva-Rosales Natalia, Dumontier Michel
School of Computer Science, Carleton University, Ottawa, Ont., Canada K1S5B6.
J Biomed Inform. 2008 Oct;41(5):779-89. doi: 10.1016/j.jbi.2008.05.001. Epub 2008 May 11.
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.
知识管理对生物界来说是一项持续的挑战,因为庞大、多样且不断增长的信息需要更复杂的方法来存储、整合和查询知识。语义网计划提供了一个新的知识工程框架来表示、共享和发现信息。在本文中,我们描述了我们在开发基于本体的知识库方面所做的努力,包括从使用“语义”数据混搭进行本体设计和填充,到自动推理和语义查询回答等方面。基于从酵母基因组数据库和通用蛋白质数据库获得的酵母数据,我们讨论了在构建知识库过程中遇到的挑战以及如何克服这些挑战。