title: Ontology acquisition from on-line knowledge sources.
abstract: Electronic knowledge representation is becoming more and more pervasive both in the form of formal ontologies and less formal reference vocabularies, such as UMLS. The developers of clinical knowledge bases need to reuse these resources. Such reuse requires a new generation of tools for ontology development and management. Medical experts with little or no computer science experience need tools that will enable them to develop knowledge bases and provide capabilities for directly importing knowledge not only from formal knowledge bases but also from reference terminologies. The portions of knowledge bases that are imported from disparate resources then need to be merged or aligned to one another in order to link corresponding terms, to remove redundancies, to resolve logical conflicts. We discuss the requirements for ontology-management tools that will enable interoperability of disparate knowledge sources. Our group is developing a suite of tools for knowledge-base management based on the Protégé-2000 environment for ontology development and knowledge acquisition. We describe one such tool in detail here: an application for incorporating information from remote knowledge sources such as UMLS into a Protégé knowledge base.
authors.affiliation: Stanford Medical Informatics, Stanford University, Stanford, CA 94305-5479, USA. liq@smi.stanford.edu
authors.forename: Q
authors.initials: Q
authors.lastname: Li
authors.forename: P
authors.initials: P
authors.lastname: Shilane
authors.forename: N F
authors.initials: NF
authors.lastname: Noy
authors.forename: M A
authors.initials: MA
authors.lastname: Musen
mesh_terms: D001185:Artificial Intelligence; D009323:Natural Language Processing; D017432:Unified Medical Language System; D018875:Vocabulary, Controlled