| 基于领域本体概念划分的语义标注方法 |
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| 引用本文： | 杨利,叶明全,郑诚.基于领域本体概念划分的语义标注方法[J].合肥联合大学学报,2013(1):41-44. |
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| 作者姓名： | 杨利 叶明全 郑诚 |
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| 作者单位： | [1]皖南医学院计算机教研室,安徽芜湖241002 [2]安徽大学计算机科学与技术学院,合肥230039 |
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| 基金项目： | 安徽省自然科学基金项目（11040606M133）资助. |
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| 摘 要： | 对当前的基于领域本体的语义标注方法进行了说明和分析，提出了基于领域本体概念划分的语义标注方法．该方法将领域本体中的概念分为特有概念和普通概念，先用一般的领域本体标注算法计算特征词的权值，再对普通概念特征词的权值进行调整，最后结合水稻领域进行试验．实验表明，该方法在保证查全率的基础上，提高了普通概念特征词的查准率．
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| 关 键 词： | 本体 语义标注 概念划分 |
Semantic Tagging Method Based on the Division of Domain Ontology. Concept |
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| Authors: | YANG Li YE Ming-quan ZHENG Cheng |
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| Institution: | 1. Computer Teaching and Research Section, Wannan Medical College, Wuhu, Anhui 241002 ; 2. School of Computer Science and Technology, Anhui University, Hefei 230039, China) |
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| Abstract: | Describing and analyzing the current annotation methods based on domain ontology, and proposing a semantic tagging method based on the division of domain ontology concept. Dividing the concept vocabularies of domain ontology into unique concept and ordinary concept. After calculating the weights of feature words by general annotation algorithm of domain ontology, and adjust the weights of feature words of ordinary concept, finally, take the experiment in rice field. Experimental results show that the method improves precision rate of feature words of ordinary concept in basis on guarantying recall rate. |
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| Keywords: | ontology semantic tagging concept division |
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