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)and Simeon Simoff (University of of Western Sydney, Australia)
Copyright: 2007
Pages: 13
Source title: Knowledge Discovery and Data Mining: Challenges and Realities
Source Author(s)/Editor(s): Xingquan Zhu (University of Vermont, USA)and Ian Davidson (State University of New York at Albany, USA)
DOI: 10.4018/978-1-59904-252-7.ch010

Keywords: Data Mining and Databases / Information Science Reference / Knowledge Discovery / Library & Information Science

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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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Knowledge Discovery in Biomedical Data Facilitated by Domain Ontologies

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