DocumentCode :
2691420
Title :
Notice of Violation of IEEE Publication Principles
Study on Application of Fuzzy Theory for Knowledge Management in E-Commerce
Author :
Sun, Zhikuan ; Lin, Shiwei
Author_Institution :
Inf. Center, Jilin Inst. of Chem. Technol., Jilin, China
fYear :
2009
fDate :
16-17 May 2009
Firstpage :
450
Lastpage :
453
Abstract :
Notice of Violation of IEEE Publication Principles

"Study on Application of Fuzzy Theory for Knowledge Management in E-Commerce,"
by Zhikuan Sun and Shiwei Lin,
in the Proceedings of the International Symposium on Information Engineering and Electronic Commerce, 2009, IEEC \´09, pp.450-453, May 2009

After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE\´s Publication Principles.

This paper contains significant portions of original text from the paper cited below. The original text was copied without attribution (including appropriate references to the original author(s) and/or paper title) and without permission.

Due to the nature of this violation, reasonable effort should be made to remove all past references to this paper, and future references should be made to the following article:

"Fuzzy Knowledge for Agent Oriented Knowledge Management in E-commerce,"
by Wei long Liu, Xin Zhang, and Fang Jin,
in the Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008, FSKD \´08, vol.5, pp.175-179, Oct. 2008

Knowledge management plays important role for personalized service in e-commerce. However, the incompleteness of knowledge has degraded knowledge collaboration in the context of e-commerce. This paper has addressed issues of knowledge acquisition for servicing user with needed information and product through agent technology and fuzzy ontology. Seller agent and buyer agent was constructed in this paper,which solve knowledge acquisition and utilization. In the end, the framework of knowledge management has been implemented to cut out knowledge application, and validation of the framework was verified by related empirical data.
Keywords :
electronic commerce; fuzzy set theory; knowledge acquisition; knowledge management; ontologies (artificial intelligence); software agents; agent technology; buyer agent; e-commerce; fuzzy ontology; fuzzy theory; knowledge acquisition; knowledge collaboration; knowledge management; knowledge utilization; personalized service; seller agent; E-commerce; fuzzy ontology; knowledge management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Engineering and Electronic Commerce, 2009. IEEC '09. International Symposium on
Conference_Location :
Ternopil
Print_ISBN :
978-0-7695-3686-6
Type :
conf
DOI :
10.1109/IEEC.2009.100
Filename :
5175157
Link To Document :
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