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