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Knowledge Discovery in Biomedical Data Facilitated by Domain Ontologies
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Author(s): Amandeep S. Sidhu (Curtin University of Technology, Australia), Paul J. Kennedy (University of Technology Sydney, Australia), Simeon Simoff (University of of Western Sydney, Australia), Tharam S. Dillon (Curtin University of Technology, Australia)and Elizabeth Chang (Curtin University of Technology, Australia)
Copyright: 2009
Pages: 13
Source title:
Medical Informatics: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Joseph Tan (McMaster University, Canada)
DOI: 10.4018/978-1-60566-050-9.ch160
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Abstract
In some real-world areas, it is important to enrich the data with external background knowledge so as to provide context and to facilitate pattern recognition. These areas may be described as data rich but knowledge poor. There are two challenges to incorporate this biological knowledge into the data mining cycle: (1) generating the ontologies; and (2) adapting the data mining algorithms to make use of the ontologies. This chapter presents the state-of-the-art in bringing the background ontology knowledge into the pattern recognition task for biomedical data.
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