Study on Rice Diseases and Insect Pests Concept ExtractionBased on Adaptive Learning

摘要：

This paper applies adaptive learning to domain concept extraction, propose a method of rice diseases and insect pests domain concept extraction with adaptivity. This method constructs a model of Bayesian network combining with context dependency analysis, domain dependencies and mutual information. It ensures efficiency of rice diseases and insect pests domain concept extraction through selfadjusting constantly.

关键词： adaptive learning ontology rice diseases and insect pests bayesian network concept extraction

作者: LIU Chao LI Shao-wen LIU Jin-hua ZHANG You-hua WANG Kai ZHANG Xiao-dan XU Ji-cheng

作者单位: School of Information and Computer Science, Anhui Agricultural University, Hefei, 230036, P.R .China School of Information and Computer Science, Anhui gricultural University, Hefei, 230036, P.R .China

会议类型: 国际会议

会议名称: 2010 International Symposium on Agricultural Ontology Service(农业本体服务2010年国际学术研讨会)

会议地点: 北京

会议语种:英文

页码: 159-165

在线出版日期: 2010-10-30（万方平台首次上网日期，不代表论文的发表时间）