| 文本从属语义关系提取及本体构建研究 |
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| 引用本文： | 殷凤霞.文本从属语义关系提取及本体构建研究[J].安康学院学报,2010,22(2):94-96,113. |
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| 作者姓名： | 殷凤霞 |
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| 作者单位： | 安康学院,图书馆,陕西,安康,725000 |
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| 摘 要： | 自动构建本体的关键是能提取出概念及概念之间的关系．为了能够提取概念及概念之间的关系，本文重点综合了汉语中“是”字陈述句的结构形式和意义，设计了关键词的形成及判断原则，从语义的角度构建分析“是”字陈述句的有限状态自动机和状态转换表．通过文本预处理及使用传统的分词算法，设计了提取从属语义关系的算法CSREA（Contain Semantic Relation Extraction Algorithm），初步实现了从文本中提取建立本体所需的概念和从属语义关系。实例成功实现了从文本中提取概念及从属语义关系，表明了本文方法的有效性和可行性．
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| 关 键 词： | 本体 数据挖掘 语义关系 自然语言处理 |
Study on Ontology Construction Based on Containing Semantic Relation Extraction from Text |
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| YIN Fengxia.Study on Ontology Construction Based on Containing Semantic Relation Extraction from Text[J].Journal of Ankang Teachers College,2010,22(2):94-96,113. |
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| Authors: | YIN Fengxia |
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| Institution: | The Library;Ankang University;Ankang 725000;Shaanxi;China |
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| Abstract: | How to extract the relations from the text is the key problems of ontology construction.In order to extract the concepts and relations,this paper discuss the structure and the meanings of is sentence,design rules to get the key concepts and build a finite state machine and state change table for is sentence.Also,by use of the traditional words segmentation algorithms,this paper propose the CSREA algorithm(Contain Semantic Relation Extraction Algorithm) to extract the concepts and relations from text.Experim... |
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| Keywords: | Ontology Data Mining Semantic Relation NLP |
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