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Evidence/Discovery-Based Evolving Ontology (EDBEO)

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Open access
Authors
Khoozani, Ehsan
Hussain, Omar
Dillon, Tharam S.
Hadzic, Maja
Date
2010
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Type
Conference Paper
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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.

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)
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School
Digital Ecosystems and Business Intelligence Institute (DEBII)
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