Authors:
Stefan Schmidt
1
;
Tharam Dillon
1
;
Robert Steele
1
and
Elizabeth Chang
2
Affiliations:
1
Faculty of IT, University of Technology, Australia
;
2
IT School of Information systems, Curtin University of Technology, Australia
Keyword(s):
Trust, Reputation, Credibility, Ontology, P2P, e-Business.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Data Engineering
;
Enterprise Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Modeling of Distributed Systems
;
Ontologies and the Semantic Web
;
Ontology Engineering
;
Symbolic Systems
Abstract:
The emergence of social networks in centralized and distributed virtual communities is one of the hottest topics in today’s research communities. Trust and reputation ontologies which capture the social relationships and concepts among interacting parties offer a standardized and common understanding of a problem domain such as electronic business in autonomous environments. To improve interoperability, ontologies can be shared among interacting agents and form the basis for many of the autonomous activities of intelligent agents. The ontologies presented in this paper concentrate on the formalisation of business discovery, business selection, and business interaction QoS review concepts. Special focus is put on trust and reputation relationships which form among the entities involved.