Knowledge Mining for Web Business Intelligence Platform and Its Sequence Knowledge Model

Author

Shen Jie ; Wei Liu-hua ; He Kun ; Xu Fa-yan ; Bi Lei ; Sun Rong-Shuang

Author_Institution

Yangzhou Univ., Yangzhou

fYear

2007

fDate

15-19 Dec. 2007

Firstpage

156

Lastpage

160

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.

Keywords

data mining; electronic commerce; ontologies (artificial intelligence); Web business intelligence; Web sequence knowledge representation; knowledge mining; knowledge semantics management; online Web knowledge acquisition; ontology evolution; sequence knowledge model; Bismuth; Cities and towns; Competitive intelligence; Computational intelligence; Context modeling; Decision making; Knowledge management; Knowledge representation; Ontologies; Security;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Security Workshops, 2007. CISW 2007. International Conference on

Conference_Location

Heilongjiang

Print_ISBN

978-0-7695-3073-4

Type

conf

DOI

10.1109/CISW.2007.4425469

Filename

4425469