Evidence/Discovery-Based Evolving Ontology (EDBEO)

Khoozani, Ehsan; Hussain, Omar; Dillon, Tharam S.; Hadzic, Maja

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Access Status

Open access

Authors

Khoozani, Ehsan

Hussain, Omar

Dillon, Tharam S.

Hadzic, Maja

Date

2010

Type

Conference Paper

Metadata

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Citation

Khoozani, Ehsan Nasiri and Hussain, Omar and Dillon, Tharam S. and Hadzic, Maja. 2010. Evidence/Discovery-Based Evolving Ontology (EDBEO), in Dillon, T. and Rubin, D. and Gallagher, W. and Sidhu, A. and Tsymbal, A. (ed), 23rd IEEE International Symposium on Computer-Based Medical Systems (CBMS 2010), Oct 12 2010, pp. 327-333. Perth, WA: IEEE.

Source Title

Proceedings of the 23rd IEEE international symposium on computer-based medical systems (CBMS 2010)

Source Conference

23rd IEEE International Symposium on Computer-Based Medical Systems (CBMS 2010)

ISBN

9781424491667

School

Digital Ecosystems and Business Intelligence Institute (DEBII)

Remarks

Copyright © 2010 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/20.500.11937/27414

Collection

Curtin Research Publications

Abstract

This paper presents a proposal for the development of an ontology evolution strategy which refines ontological relations in scientific ontologies. In addition to experts’ consensus, it is desirable to define ontological relations between any two concepts in a scientific ontology based on scientific evidence. To address this issue, we can relate ontological relations to different research results obtained from various studies. To implement this solution, our envisaged evidence/discovery-based methodology integrates a higher-level ontology (systematic review ontology) into a systematic review agent which employs a Fuzzy Inference System in order to automatically modifyontological relations of a domain ontology based on the evidence received from information resources. The evidence/discovery-based methodology will further use the domain ontology to discover novel connections between distinct literatures, thereby, enrich its conceptualization.