DocumentCode :
1971992
Title :
Community-driven ontology evolution based on lightweight social networking in Oil and Gas Domain
Author :
Aseeri, Ahmed ; Wongthongtham, Pornpit
Author_Institution :
Digital Ecosyst. & Bus. Intell., Curtin Univ., Perth, WA, Australia
fYear :
2011
fDate :
May 31 2011-June 3 2011
Firstpage :
197
Lastpage :
202
Abstract :
Ontology evolution is one of the problems facing ontology users today. One of the problems is that making changes to one concept of ontology might affect other concepts, thereby leading to inconsistencies. Moreover, this creates a lot of work for ontology engineers who have to update the ontology manually. The process of changing the ontology requires work from the domain experts. No cost effective communication method exists that enables discussion and agreement on these changes. In this paper, we propose to use a lightweight Social Networking approach in order to enhance the communication between different participants. This will produce a more efficient and effective method of communication and decision-making.
Keywords :
decision making; gas industry; industrial engineering; ontologies (artificial intelligence); petroleum industry; social networking (online); community-driven ontology evolution; decision making; gas domain; lightweight social networking; oil domain; Blogs; Communities; Electronic publishing; Information services; Internet; Ontologies; Social network services; Oil and Gas Ontology; Ontology Evolution; Social Network; Web-Protége;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Ecosystems and Technologies Conference (DEST), 2011 Proceedings of the 5th IEEE International Conference on
Conference_Location :
Daejeon
Print_ISBN :
978-1-4577-0871-8
Type :
conf
DOI :
10.1109/DEST.2011.5936625
Filename :
5936625
Link To Document :
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