An ontology driven approach for knowledge discovery in Biomedicine

Date
2004
Authors
Gottgtroy, P
Kasabov, N
Macdonell, S
Supervisor
Item type
Conference Contribution
Degree name
Journal Title
Journal ISSN
Volume Title
Publisher
Springer-Verlag
Abstract

The explosion of biomedical data and the growing number of disparate data sources are exposing researchers to a new challenge - how to acquire, maintain and share knowledge from large and distributed databases in the context of rapidly evolving research. This paper describes research in progress on a new methodology for leveraging the semantic content of ontologies to improve knowledge discovery in complex and dynamic domains. It aims to build a multi-dimensional ontology able to share knowledge from different experiments undertaken across aligned research communities in order to connect areas of science seemingly unrelated to the area of immediate interest. We analyze how ontologies and data mining may facilitate biomedical data analysis and present our efforts to bridge the two fields, knowledge discovery in Biomedicine, and ontology learning for successful data mining in large databases. In particular we present an initial biomedical ontology case study and how we are integrating that with a data mining environment.

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Source
Proceedings of the 8th Pacific Rim International Conference on Artificial Intelligence (PRICAI). Auckland, New Zealand, Springer-Verlag, vol.3157, pp.53-67
DOI
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Authors retain the right to place his/her pre-publication version of the work on a personal website or institutional repository on condition that there is a link to the definitive version on the Springer Verlag web site. The final publication is available at www.springerlink.com