yOWL: an ontology-driven knowledge base for yeast biologists.
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.
Villanueva-Rosales
Natalia
N
School of Computer Science, Carleton University, Ottawa, Ont., Canada K1S5B6.
Dumontier
Michel
M
D003628:Database Management Systems; D033181:Information Dissemination / Q000379:methods; D016247:Information Storage and Retrieval / Q000379:methods; D020407:Internet / Q000458:organization & administration; D051188:Knowledge Bases; D009323:Natural Language Processing; D012441:Saccharomyces cerevisiae / Q000502:physiology*; D012660:Semantics; D018511:Systems Integration; D018875:Vocabulary, Controlled