RESEARCH ON KNOWLEDGE ACQUISITION METHOD FROM DOMAIN TEXT

摘要：

To enhance the efficiency and accuracy of knowledge acquisition, based on the aviation product failure a nalysis, a knowledge acquisition framework is proposed. Sentence templates are defined to extract the meta knowledge and RDF is used to manage the extracted knowledge. The texts are represented by vector space model (VSM) after the preprocessing steps. Then domain concepts are discovered from RDF documents by u sing LSI-SVD and taxonomy knowledge are found through domain text analysis by using a text clustering method named as dominant-set. At last, a prototype is developed to acquire knowledge from aviation product failure a nalysis reports. Empirical results show that the framework can acquire knowledge from domain text efficiently.

关键词： Knowledge acquisition Text mining Domain text Failure analysis report Meta-knowledge

作者: Jun Wang Xuening Liu Yunpeng Wu

作者单位: School of Economics and Management, Beihang University, Beijing 100083, China

会议类型: 国际会议

会议名称: The Ninth International Conference on Industrial Management(第九届工业管理国际会议 ICIM2008)

会议地点: 日本大阪

会议语种:英文

页码: 823-832

在线出版日期: 2008-09-16（万方平台首次上网日期，不代表论文的发表时间）