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Research on Semantic Text Mining Based on Domain Ontology

文献类型： 会议论文

第一作者： Lihua Jiang

作者： Lihua Jiang 1 ; Hong-bin Zhang 2 ; Xiaorong Yang 1 ; Nengfu Xie 1 ;

作者机构： 1.Agricultural Information Institute of Chinese Academy of Agricultural Sciences, Beijing, 100081,Key Laboratory of Digital Agricultural Early-Warning Technology, Ministry of Agriculture, P.R. China, Beijing, 100081

2.Institute of Agriculture Resources and Regional Planning of Chinese Academy of Agricultural Sciences, Beijing, 100081

关键词： ontology;domain ontology;text mining;semantic text mining

会议名称： IFIP WG 5.14 international conference on computer and computing technologies in agriculture

主办单位：

页码： 336-343

摘要： Text mining is an effective means of detecting potentially useful knowledge from large text documents. However conventional text mining technology cannot achieve high accuracy, because it cannot effectively make use of the semantic information of the text. Ontology provides theoretical basis and technical support for semantic information representation and organization. This paper improves the traditional text mining technology which cannot understand the text semantics. The author discusses the text mining methods based on domain ontology, and sets up domain ontology and database at first, then introduces the "concept-concept" correlation matrix and identifies the relationships of conceptions, and puts forward the text mining model based on domain ontology at last. Based on the semantic text mining model, the depth and accuracy of text mining is improved.

分类号： s1

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