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Ontologies in the Health Field
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Author(s): Michel Simonet (Laboratoire TIMC-IMAG and Institut de l’Ingénierie et de l’Information de Santé, France), Radja Messai (Laboratoire TIMC-IMAG and Institut de l’Ingénierie et de l’Information de Santé, France)and Gayo Diallo (Laboratoire TIMC-IMAG, Institut de l’Ingénierie et de l’Information de Santé, France)
Copyright: 2009
Pages: 20
Source title:
Data Mining and Medical Knowledge Management: Cases and Applications
Source Author(s)/Editor(s): Petr Berka (University of Economics, Prague, Czech Republic), Jan Rauch (University of Economics, Prague, Czech Republic)and Djamel Abdelkader Zighed (University of Lumiere Lyon 2, France)
DOI: 10.4018/978-1-60566-218-3.ch002
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Abstract
Health data and knowledge had been structured through medical classifications and taxonomies long before ontologies had acquired their pivot status of the Semantic Web. Although there is no consensus on a common definition of an ontology, it is necessary to understand their main features to be able to use them in a pertinent and efficient manner for data mining purposes. This chapter introduces the basic notions about ontologies, presents a survey of their use in medicine and explores some related issues: knowledge bases, terminology, and information retrieval. It also addresses the issues of ontology design, ontology representation, and the possible interaction between data mining and ontologies.
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