Title
Web-Service Semantic Enabled Implementation of Machine vs.Machine Business Negotiation
Abstract
The ultimate target of business to business (B2B) integration and deployment is completebusiness 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.
Year
DOI
Venue
2004
10.1109/ICWS.2004.129
ICWS
Keywords
Field
DocType
web-service semantic enabled implementation,human business negotiation,multiple machine,machine vs.machine business negotiation,semantic-enabled machine,business point,web service,b2b negotiation solution,human intervention,negotiation process,machine business negotiation,negotiation algorithm,semantic web,electronic commerce,bayesian methods,profitability,automation,bayesian updating,business,web services,business process,clustering algorithms,internet,negotiation,world wide web
Artifact-centric business process model,New business development,Data mining,Business process,Computer science,Knowledge management,Business domain,Business process modeling,Business Process Model and Notation,Business rule,Business activity monitoring
Conference
ISBN
Citations 
PageRank 
0-7695-2167-3
5
0.80
References 
Authors
8
5
Name
Order
Citations
PageRank
Laurentiu Vasiliu1568.37
Michal Zaremba264958.31
Matthew Moran357545.98
Christoph Bussler41459206.31
Jim Browne515413.97