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2010 IEEE 23rd International Symposium on Computer-Based Medical Systems (CBMS) (2010)
Perth, WA
Oct. 12, 2010 to Oct. 15, 2010
ISBN: 978-1-4244-9167-4
pp: 327-333
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 modify ontological 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.
INDEX TERMS
information resources, evidence-discovery based ontology evolution strategy, scientific ontology, scientific evidence, higher-level ontology, fuzzy inference system
CITATION

O. Hussain, T. Dillon, M. Hadzic and E. N. Koozani, "Evidence/discovery-based evolving ontology (EDBEO)," 2010 IEEE 23rd International Symposium on Computer-Based Medical Systems (CBMS), Perth, WA, 2010, pp. 327-333.
doi:10.1109/CBMS.2010.6042665
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