Synergy on ontology and data mining: increasing value of the mental health

Hadzic,  Maja; D'Souza, R; Hadzic, Fedja; Dillon, Tharam S.

Access Status

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Authors

Hadzic, Maja

D'Souza, R

Hadzic, Fedja

Dillon, Tharam S.

Date

2008

Type

Conference Paper

Metadata

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Citation

Hadzic, Maja and D'Souza, Russel and Hadzic, Fedja and Dillon, Tharam. 2008. Synergy on ontology and data mining: increasing value of the mental health, in Chang, E. and Hussain, F. (ed), Second International Conference on Digital Ecosystems and Technology, Feb 26 2008, pp. 600-603. Phitsanulok, Thailand: Institute of Electrical and Electronics Engineers (IEEE).

Source Title

Proceedings of the 2nd international conference on digital ecosystems and technologies (DEST 2008)

Source Conference

2nd International Conference on Digital Ecosystems and Technology (DEST 2008)

ISBN

9781424414895

Faculty

Curtin Business School

School of Economics and Finance

School

Centre for Extended Enterprises and Business Intelligence

Remarks

Copyright © 2008 IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

URI

http://hdl.handle.net/20.500.11937/10373

Collection

Curtin Research Publications

Abstract

Increase in mental health research has lead to an accumulation of mental health information. This information covers different aspects of mental health domain and provides a huge range of results. There is a need for an effective and efficient system to enable intelligent use of all this information. Specific and targeted searches are very difficult with current search engines as they look for the specific string of letters within the text rather than its meaning. Even within a specific resource, such as PubMed, it is difficult to find, link and share specific information when needed.In this paper we present a system resulting from synergy of ontology and data mining technologies. This system uses the Generic Mental Health Ontology to perform intelligent information searches. Furthermore, it uses data mining algorithms to analyze the retrieved information, and extract patterns and knowledge hidden within this information. The ontology and data-mining work in concert to increase value of the mental health information within PubMed database.