HCLS/ISWC2007/BOF/Dumontier

Carleton University, Ottawa, Canada

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. In this talk, we describe our efforts to build a web-based ontology-driven knowledge base including aspects from ontology design, ontology population using "semantic" data mashup, semantic query answering over pre-computed inferences using DL reasoners and triple stores. Based on yeast data obtained from the Saccharomyces Genome Database, we discuss the challenges encountered during the building of the knowledge base and how they were overcome.