A Research For Webmining By Combine 5W1H With Ontology

• Main Authors: Yu-ming Chen, 陳育銘
• Other Authors: Chin-bin Wang
• Format: Others
• Language: zh-TW
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/39710361829623537203

碩士 === 南華大學 === 資訊管理學研究所 === 96 === 　　With computer and the vigorous development of the Internet, use the Internet to search for information has been gradually become the trend of the times. In the current search methods, a description of the query search will often be the key, but often do not accord the user''s intentions, then accuracy was challenged. Questions should be to understand how the user''s intention is to pursue further research objectives. 　　 　　In this paper, this research mainly makes analysis of the Chinese question sentence, it contains three steps, the first step is break sentence segmentation and Part-Of-Speech by Sinica CKIP (Chinese Knowledge Information processing) system, and find intention type and keyword by 5W1H induction and the Finite Automata method, the second step expands the semantic net by key words matching domain Ontology, the third step the 5W1H correspondence word and the semantic net do the association to the search engine does the search. This research result showed we proposed joins the 5W1H correspondence word method to be possible to improve its search the precision , can helps user to find intention answer by network.