DocumentCode :
1698493
Title :
Evidence/discovery-based evolving ontology (EDBEO)
Author :
Koozani, Ehsan Nasiri ; Hussain, Omar ; Dillon, Tharam ; Hadzic, Maja
fYear :
2010
Firstpage :
327
Lastpage :
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.
Keywords :
case-based reasoning; fuzzy reasoning; information resources; ontologies (artificial intelligence); evidence-discovery based ontology evolution strategy; fuzzy inference system; higher-level ontology; information resources; scientific evidence; scientific ontology; Business; Complexity theory; Humans; Ontologies; Pragmatics; Stress; Systematics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer-Based Medical Systems (CBMS), 2010 IEEE 23rd International Symposium on
Conference_Location :
Perth, WA
ISSN :
1063-7125
Print_ISBN :
978-1-4244-9167-4
Type :
conf
DOI :
10.1109/CBMS.2010.6042665
Filename :
6042665
Link To Document :
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