DocumentCode
3199458
Title
Web-service semantic enabled implementation of machine vs. machine business negotiation
Author
Vasiliu, Laurentiu ; Zaremba, Michal ; Moran, Matthew ; Bussler, Christoph ; Browne, Jim
Author_Institution
Digital Enterprise Res. Inst., Galway, Ireland
fYear
2004
fDate
6-9 July 2004
Firstpage
106
Lastpage
115
Abstract
The ultimate target of business to business (B2B) integration and deployment is complete business process automation within and between enterprises with no human intervention. From a business point of view, negotiation is the main mechanism that modern enterprises use to achieve targets that maximise their profits. This paper proposes an automated B2B negotiation solution: the implementation of semantic-enabled machine versus machine business negotiation as a Web service. We argue that the shift from human vs. human to machine vs. machine business negotiation is facilitated by using semantic Web technology implemented with Web services. The negotiation process in this work is designed for multiple machines (a minimum of 3 computers), using a negotiation algorithm that emulates the behaviour of human business negotiations. Possible development directions are brought forward in the paper´s conclusion.
Keywords
belief networks; electronic commerce; negotiation support systems; semantic Web; ANCPA; Automated Negotiation of Collaboration Protocol Agreements; B2B integration; Bayesian updating beliefs rule; Web-service; automated B2B negotiation; business process automation; business-to-business integration; human business negotiation behaviour emulation; human intervention; machine business negotiation; machine-machine business negotiation; multiple machines; negotiation algorithm; semantic Web technology; semantic enabled machine; semantic-enabled machine; Automation; Bayesian methods; Business; Clustering algorithms; Humans; Internet; Semantic Web; Standards development; Web services; World Wide Web;
fLanguage
English
Publisher
ieee
Conference_Titel
Web Services, 2004. Proceedings. IEEE International Conference on
Print_ISBN
0-7695-2167-3
Type
conf
DOI
10.1109/ICWS.2004.1314729
Filename
1314729
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