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.
"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