View Item 

Ontological framework for trust and reputation for DBE

Access Status
Open access
Authors
Hammadi, Adil
Hussain, Farookh Khadeer
Chang, Elizabeth
Dillon, Tharam S.
Ali, S.
Date
2008
Type
Conference Paper

Metadata
Show full item record
Citation
Hammadi, Adil and Hussain, Farookh Khadeer and Chang, Elizabeth and Dillon, Tharam and Ali, Saqib. 2008. Ontological framework for trust and reputation for DBE, in Chang, E. and Hussain, F. (ed), Second International Conference on Digital Ecosystems and Technology, Feb 26 2008, pp. 650-653. Phitsanulok, Thailand: Institute of Electrical and Electronics Engineers (IEEE).
Source Title
Proceedings of the 2nd international conference on digital ecosystems and technologies (DEST 2008)
Source Conference
2nd International Conference on Digital Ecosystems and Technology (DEST 2008)
DOI
ISBN
Faculty
Curtin Business School
School of Economics and Finance
School
Centre for Extended Enterprises and Business Intelligence
Remarks

Copyright © 2008 IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

URI
Collection
Abstract

Today's e-Businesses rely heavily on trust and reputation systems. These systems are key indicators for businesses performance. Businesses that interact with each other for their business needs form a Digital Business Ecosystem (DBE). Members ofDBE need to know the trust and reputation value of each other before the start of business interactions. The feedback meclwnism is needed so that members of DBE form a unanimous opinion about any specific member of the community and based their business interactions on this opinion. We present an ontological framework that will combine the opinions from aU different trust and reputation databases for a specific member of a domain and gives the knowledge representation on the bases ofcombined opinion. We call this ontological framework feedback ontology.