Name
Abstract | ||
|---|---|---|
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 meta-search 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. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11590354_77 | GCC |
Keywords | Field | DocType |
fuzzy cognitive map,query e-documents user,dunhuang feitian system,local e-documents,common vehicle,high performance,meta-search engine,current web,effective classification facility,meta search engine | Data mining,Metasearch engine,User assistance,Cognitive map,Computer science,Fuzzy cognitive map,Fuzzy logic,Electronic document,Grid,The Internet | Conference |
Volume | ISSN | ISBN |
3795 | 0302-9743 | 3-540-30510-6 |
Citations | PageRank | References |
2 | 0.44 | 12 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jianzeng Wang | 1 | 2 | 0.78 |
| Yunpeng Xing | 2 | 116 | 9.48 |
| Peng Shi | 3 | 2 | 0.44 |
| Fei Guo | 4 | 2 | 0.78 |
| Zhen Wang | 5 | 2 | 0.78 |
| Erlin Yao | 6 | 163 | 10.93 |
| Kehua Yuan | 7 | 5 | 1.38 |
| Junsheng Zhang | 8 | 203 | 25.16 |