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GCC
2005
Springer

Using Fuzzy Cognitive Map to Effectively Classify E-Documents and Application

9 years 3 months ago
Using Fuzzy Cognitive Map to Effectively Classify E-Documents and Application
In the current Web, e-document has been the most common vehicle for delivering and exchanging information. As the amount of e-documents has grown enormously, effective classification facilities are urgently needed to classify and query e-documents users want. In this paper, we propose a method to classify e-documents into a set of predefined categories based on Fuzzy Cognitive Map (FCM). The e-documents are collected from Internet by a metasearch engine. FCM has been employed to capture the semantic relationships between keywords of e-documents. Experiments with a set of local e-documents have proved that this approach has high performance and can help users getting the e-documents efficiently and effectively. The proposed method has been implemented and integrated into the Dunhuang Feitian System to manage and classify e-documents.
Jianzeng Wang, Yunpeng Xing, Peng Shi, Fei Guo, Zh
Added 27 Jun 2010
Updated 27 Jun 2010
Type Conference
Year 2005
Where GCC
Authors Jianzeng Wang, Yunpeng Xing, Peng Shi, Fei Guo, Zhen Wang, Erlin Yao, Kehua Yuan, Junsheng Zhang
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