DocumentCode :
2728238
Title :
Semantic Tagging for Large-scale Content Management
Author :
Chen, Liming ; Roberts, Craig
fYear :
2007
fDate :
2-5 Nov. 2007
Firstpage :
478
Lastpage :
481
Abstract :
Knowledge incorporation is one challenge in e- Commerce automated negotiation. In this paper, we describe a model of B2B negotiation using knowledge. We classify the types of knowledge namely general knowledge and negotiation knowledge, in the negotiation process. A methodology that uses knowledge bead (KB) and meta-KB as knowledge representation that would be suitable for the design of automated negotiation systems is discussed. An experimental prototype demonstrates that by incorporating knowledge into automated negotiation yields improved results.
Keywords :
knowledge based systems; knowledge representation; B2B negotiation; automated negotiation systems; commerce automated negotiation; knowledge based methodology; knowledge incorporation; knowledge representation; Collaboration; Content management; Data mining; Electronic publishing; Information analysis; Large-scale systems; Mashups; Ontologies; Semantic Web; Tagging;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Web Intelligence, IEEE/WIC/ACM International Conference on
Conference_Location :
Fremont, CA
Print_ISBN :
978-0-7695-3026-0
Type :
conf
DOI :
10.1109/WI.2007.119
Filename :
4427139
Link To Document :
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