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Knowledge discovery in biomedical data facilitated by domain ontologies

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Authors
Sidhu, Amandeep
Kennedy, P.
Simoff, S.
Dillon, Tharam S.
Chang, Elizabeth
Date
2007
Type
Book Chapter

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Sidhu, Amandeep S. and Kennedy, Paul J. and Simoff, Simeon and Dillon, Tharam S. and Chang, Elizabeth. 2007. Knowledge discovery in biomedical data facilitated by domain ontologies. In Zhu, Xingquan and Davidson, Ian (ed), Knowledge discovery and data mining: Challenges and realities, pp 189-201. Hershey, PA, USA: IGI Global.
Source Title
Knowledge discovery and data mining: Challenges and realities
Faculty
Curtin Business School
School of Information Systems
School
Centre for Extended Enterprises and Business Intelligence
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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 knowledgeinto the pattern recognition task for biomedical data.