| 基于本体的概念间语义相似度计算方法研究 |
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| 引用本文： | 徐德智,王怀民.基于本体的概念间语义相似度计算方法研究[J].计算机工程与应用,2007,43(8):154-156. |
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| 作者姓名： | 徐德智 王怀民 |
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| 作者单位： | [1]国防科技大学计算机学院,长沙410005 [2]中南大学信息科学与工程学院,长沙410083 |
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| 摘 要： | 基于SUMO(Suggested Upper Merged Ontology)1],提出了一种计算两概念语义相似度的语义距离方法。根据该方法实现了一个计算平台,将计算结果同人类的主观判断进行了比较,验证了概念语义相似度计算方法的有效性。该研究成果拟在正研发的语义数据库本体集成部分得到应用,也可以为本体的其它相关研究提供一定的技术基础。
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| 关 键 词： | SUMO 语义距离 语义相似度 主观判断 |
| 文章编号： | 1002-8331（2007）08-0154-03 |
| 修稿时间： | 2006-08 |
Concept semantic similarity research based on ontology |
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| XU De-zhi,WANG Huai-min.Concept semantic similarity research based on ontology[J].Computer Engineering and Applications,2007,43(8):154-156. |
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| Authors: | XU De-zhi WANG Huai-min |
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| Affiliation: | 1.College of Computer Science,National University of Defense Technology,Changsha 410005,China; 2.College of Information Science and Engineering,Central South University,Changsha 410083,China |
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| Abstract: | This paper,based on SUMO,proposes a semantic distance approach for evaluating the semantic similarity of two concepts,and using the approach we have implemented a computing platform.We have compared the results attained from the evaluation with the human's judgments,which has justified the validity of the approach proposed in the paper.The approach can be utilized in this ongoing development of semantic database.It can also offer some technical tips for other ontology-related areas. |
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| Keywords: | Suggested Upper Merged Ontology(SUMO) semantic distance semantic similarity human's judgment |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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