A study of automatic knowledge base generation from documents to support decision making

• Main Authors: Dong-Cherng Lin, 林東成
• Other Authors: Gwo-Jen Hwang
• Format: Others
• Language: zh-TW
• Published: 1995
• Online Access: http://ndltd.ncl.edu.tw/handle/57071993166655124297

碩士 === 國立交通大學 === 傳播科技研究所 === 83 === In the process of developing the expert system, the more valuable part is to construct an ideal knowledge base. In the thesis, we take the diagnostic system of swine disease as an example of an expert system. After 1988, there are plentiful diagnosis''s cases of swine disease from an experimental pigpen in the Institute of Swine Breeding in Taiwan. These cases are important resources of the database by which we will build an expert system. In a traditional way, we have to construct a knowledge in the directions of the experts by inputting the cases artificially, and then we build an expert system by inputting those original data. This way will take a lot waste of work force. If we can replace the part of work with computer, we will not only decrease the need of personnel, but also reduce the total cost of building the knowledge base. In my research, we have built a system to generate knowledge base from documents automatically. We can make those original source files become a database of case history by using this system. Then by the learning department of the expert system, we can transform the database into a necessary knowledge base for the expert system. Therefore, we can use all of the abundant cases'' resources effectively, providing for the researchers and business persons.