Hierarchical Web Categorization Model Based on Fuzzy Cognitive Maps

Author

Lee, Jingxiu ; Zhang, Weijuan

Author_Institution

Comput. & Inf. Eng. Dept., Luoyang Inst. of Sci. & Technol., Luoyang, China

Volume

3

fYear

2009

fDate

4-5 July 2009

Firstpage

351

Lastpage

354

Abstract

Text categorization is an important direction of information processing, and now there are many methods of text categorization, such as Bayesian probabilistic models, vector space model, k-nearest neighbor and so on. And now most of information of web is in form of text. Therefore, this paper proposed a hierarchical model of Web categorization based on fuzzy cognitive maps, namely, using fuzzy cognitive maps (FCMs) and the thoughts of decomposition to realize hierarchical Web categorization. In that way, it can largely decrease scale and complexity, and increase categorization efficiency.

Keywords

Internet; fuzzy set theory; text analysis; Bayesian probabilistic model; fuzzy cognitive map; hierarchical Web categorization model; information processing; k-nearest neighbor; text categorization; vector space model; Application software; Bayesian methods; Databases; Electronic mail; Fuzzy cognitive maps; Fuzzy set theory; Information processing; Space technology; State-space methods; Text categorization; Fuzzy Cognitive Maps (FCMs); Hierarchical; Web Categorization;

fLanguage

English

Publisher

ieee

Conference_Titel

Environmental Science and Information Application Technology, 2009. ESIAT 2009. International Conference on

Conference_Location

Wuhan

Print_ISBN

978-0-7695-3682-8

Type

conf

DOI

10.1109/ESIAT.2009.285

Filename

5199707