篇名 | Toward an Intelligent Agent System Using Document Classification Techniques |
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卷期 | 18:1 |
作者 | Fu, Jui-his 、 Chang, Jui-huns 、 Huang, Yueh-min 、 Lee, Sing-ling 、 Teng, Wei-guang |
頁次 | 031-043 |
關鍵字 | document classification 、 intelligent agent system 、 XML 、 term extraction 、 EI 、 MEDLINE 、 Scopus |
出刊日期 | 200704 |
Because the rapid development of science and technology leads to rapid changes of the social structure, this paper discusses how to make use of the technological power to change the current organization, principle, management and process, to enhance the chief productivity and to reduce the human resource burden and improve the efficiency. Through this research, an intelligent document agent system is established, which has the agent function and classification techniques; this system is also expected to be able to adopt the agent function to improve the system design. This system makes a labeling format related to the document through XML, and takes it as the data transmission media including the Chinese information exchanged on the website; the system also selects the information among the transmission and finds out the information of the keywords through Chinese Sentence Segment, and classifies trains and increases the accuracy of data classification. Meanwhile, this system provides the classification error mechanism to improve the accuracy. I hope this theory can be adopted in schools, government and through the system, the domestic institutions and business organizations can find an economical, practical and reliable format to shorten the time of the artificial classification and document transmission, as well as improving the efficiency and performance of document classification.