Community-driven ontology evolution based on lightweight social networking in oil and gas domain

Aseeri, Ahmed; Wongthongtham, Pornpit

doi:10.1109/DEST.2011.5936625

Access Status

Fulltext not available

Authors

Aseeri, Ahmed

Wongthongtham, Pornpit

Date

2011

Type

Conference Paper

Metadata

Show full item record

Citation

Aseeri, Ahmed and Wongthongtham, Pornpit. 2011. Community-driven ontology evolution based on lightweight social networking in oil and gas domain, in 5th IEEE International Conference on Digital Ecosystems and Technologies (DEST), May 31 - Jun 03 2011. Daejeon, South Korea: IEEE.

Source Title

Proceedings of the 5th IEEE International Conference on Digital Ecosystems and Technologies (IEEE DEST 2011)

Source Conference

5th IEEE International Conference on Digital Ecosystems and Technologies (IEEE DEST 2011)

DOI

10.1109/DEST.2011.5936625

ISBN

978-1-4577-0871-8

School

Digital Ecosystems and Business Intelligence Institute (DEBII)

URI

http://hdl.handle.net/20.500.11937/22088

Collection

Curtin Research Publications

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.