State of the art in negotiation ontologies for enhancing business intelligence
MetadataShow full item record
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.
Negotiation is defined as two or more agents making agreement on the common interests, which provides an efficient approach for companies to gain business intelligence from suppliers and customers. Current negotiation research focuses on automatically stimulating negotiation behaviors among agents. Ontology, as a modeling technology in semantic web, is regarded as an effective tool to improve the negotiation ability of agents, considering that ontology can provide richer semantic expressions for agents in negotiation process. In this paper, we make a brief review on the current negotiation ontology researches. In addition, by means of a unique ontology notation system, we unify the notations used in these ontologies, to maximally promote knowledge sharing outcome in this field. By comparing and contrasting the ontologies from five perspectives, we draw a brief conclusion to the present status of negotiation ontology researches, and make our suggestions to the further research in this field.
Showing items related by title, author, creator and subject.
Dong, Hai; Hussain, Farookh Khadeer; Chang, Elizabeth (2008)In a multi-agent system, a business may start by two agents that have the desire of trading, in which negotiation is an inevitable procedure for building the business relationship. In the context of e-business, agents ...
Hadzic, Maja; Dillon, Darshan (2009)We have developed an evidence-based mental health ontological model that represents mental health in multiple dimensions. The ongoing addition of new mental health knowledge requires a continual update of the Mental Health ...
Khoozani, Ehsan; Hussain, Omar; Dillon, Tharam S.; Hadzic, Maja (2010)This paper presents a proposal for the development of an ontology evolution strategy which refines ontological relations in scientific ontologies. In addition to experts’ consensus, it is desirable to define ontological ...