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Content Provider | IEEE Xplore Digital Library |
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Author | Shen Jie Wei Liu-hua He Kun Xu Fa-yan Bi Lei Sun Rong-shuang |
Copyright Year | 2007 |
Description | Author affiliation: Yangzhou Univ., Yangzhou (Shen Jie; Wei Liu-hua; He Kun; Xu Fa-yan; Bi Lei; Sun Rong-shuang) |
Abstract | The ever-changing market information makes the traditional information collection and the way for using it unfitted for enterprises' business requirements. Knowledge mining for Web business intelligence (KB4WBI) platform is put forward in this paper, and online Web knowledge acquisition and knowledge semantics management are realized. Since Web business information has evident time effectiveness and context-related characteristic, great emphasis is placed on the research of Web sequence knowledge representation model of ontology evolution. Compared to the current methods, this platform comprehensively considers the real time characteristic and semantic attributions of Web knowledge, improves the knowledge precision and utility, and lays the basis of Web business intelligence. |
Starting Page | 156 |
Ending Page | 160 |
File Size | 881926 |
Page Count | 5 |
File Format | |
ISBN | 9780769530734 |
DOI | 10.1109/CISW.2007.4425469 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2007-12-15 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Decision making Knowledge representation Cities and towns Bismuth Ontologies Knowledge management Competitive intelligence Security Computational intelligence Context modeling |
Content Type | Text |
Resource Type | Article |
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