DocumentCode :
2864998
Title :
State of the Art of Community-Driven Software Engineering Ontology Evolution
Author :
Wongthongtham, Pornpit ; Dillon, Tharam ; Chang, Elizabeth
Author_Institution :
Digital Ecosyst. & Bus. Intell. Inst., Curtin Univ., Perth, WA, Australia
fYear :
2011
fDate :
12-14 Dec. 2011
Firstpage :
1039
Lastpage :
1045
Abstract :
Ontology evolution becomes an interesting topic in the semantic web field and increasingly getting research momentum. However, there is still a lack of understanding and support in ontology evolution. In this paper, we focus on an approach for ontology evolution of Software Engineering Ontology (SE Ontology) in multi-site software development setting. An integration of agents with semantic web technology and recommender systems to address communication and co-ordination issues is proposed together with a use of social networks for the purpose of ontology evolution.
Keywords :
ontologies (artificial intelligence); recommender systems; semantic Web; software engineering; Semantic Web; recommender systems; software development; state of the art of community driven software engineering ontology evolution; Cloud computing; Ontologies; Programming; Social network services; Ontology evolution; recommendation systems; social network; software engineering ontology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Dependable, Autonomic and Secure Computing (DASC), 2011 IEEE Ninth International Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
978-1-4673-0006-3
Type :
conf
DOI :
10.1109/DASC.2011.170
Filename :
6118866
Link To Document :
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