Title :
Signifying ontology complexity for knowledge sharing
Author :
Wongthongtham, P. ; Zadjabbari, B.
Author_Institution :
DEBII, Curtin Univ., Perth, WA, Australia
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;
Conference_Titel :
Internet Technology and Secured Transactions, 2009. ICITST 2009. International Conference for
Conference_Location :
London
Print_ISBN :
978-1-4244-5647-5
DOI :
10.1109/ICITST.2009.5402638