DocumentCode :
3343975
Title :
Signifying ontology complexity for knowledge sharing
Author :
Wongthongtham, P. ; Zadjabbari, B.
Author_Institution :
DEBII, Curtin Univ., Perth, WA, Australia
fYear :
2009
fDate :
9-12 Nov. 2009
Firstpage :
1
Lastpage :
5
Abstract :
Ontologies are used in widespread application areas particularly to provide a shared semantically domain knowledge in a declarative formalism for intelligent reasoning. Even ontology enables knowledge sharing however complexity of knowledge being conceptualized in the ontology is critical to the success of knowledge sharing efforts. Other factor like trust in the source of knowledge can also affect knowledge transfer. In this paper we propose metrics to measure the complexity of ontology for knowledge sharing. We have chosen Software Engineering Ontology as our case study.
Keywords :
ontologies (artificial intelligence); software engineering; intelligent reasoning; knowledge sharing; ontology complexity; shared semantically domain knowledge; software engineering ontology; Biomedical informatics; Intelligent agent; Knowledge transfer; Ontologies; Semantic Web; Software agents; Software engineering; Stability; Unified modeling language; Usability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Internet Technology and Secured Transactions, 2009. ICITST 2009. International Conference for
Conference_Location :
London
Print_ISBN :
978-1-4244-5647-5
Type :
conf
DOI :
10.1109/ICITST.2009.5402638
Filename :
5402638
Link To Document :
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