An Automatic Acquisition of Domain Knowledge from List-Structrued Text in Baidu Encyclopedia

摘要：

We propose a novel method which can automatically extract new concepts and semantic relations between concepts, in order to support the domain ontology evoKement. We collect the corpus from a free Chinese encyclopedia called Baidu encyclopedia, which is similar to Wikipedia. We locate lists from the Baidu encyclopedia, and extract domain knowledge from the lists. Further more, we use a knowledge assessor to ensure the validity of extracted knowledge. In the experiments, we make a practical attempt to evolve the Chinese Law Ontology (CLO V0), and show that our method can improve the completeness and coverage of CLO V0.

关键词： knowledge extraction baidu encyclopedia list wrapper

作者: Wu Wenjuan Liu Tao Hu He Du Xiaoyong

作者单位: School of Information Renmin University of China Beijing 100872, China

会议类型: 国际会议

会议名称: 2010 4th International Universal Communication Symposium(第四届国际普遍交流学术研讨会 IUCS 2010)

会议地点: 北京

会议语种:英文

页码: 290-297

在线出版日期: 2010-10-18（万方平台首次上网日期，不代表论文的发表时间）