| 基于加权的本体相似度计算方法 |
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| 引用本文： | 吕刚,郑诚.基于加权的本体相似度计算方法[J].计算机工程与设计,2010,31(5). |
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| 作者姓名： | 吕刚 郑诚 |
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| 作者单位： | 1. 安徽大学计算智能与信号处理教育部重点实验室,安徽,合肥,230039;合肥学院网络与智能信息处理合肥学院重点实验室,安徽,合肥,230601
2. 安徽大学计算智能与信号处理教育部重点实验室,安徽,合肥,230039 |
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| 基金项目： | 安徽省自然科学基金项目(050420204):安徽省高校自然科学研究基金项目 |
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| 摘 要： | 为优化基于本体的语义推理效果,提出了对本体中概念结点赋予权重的相似度计算方法.通过定义本体树中深度因子和密度因子,以解决本体中概念深度与密度对相似度计算的影响.利用Jena API、Lucene等开源工具包,提出了查询扩展方法.实验结果表明,提出的基于加权语义相似度计算模型与传统的计算法方法以及主观判断的方法相比,提高了相似度计算的准确性,效率有明显提高.
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| 关 键 词： | 本体 语义距离 语义相似度 语义检索 查询语义扩展 |
Method of ontology similarity calculation based on weighted |
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| L Gang,ZHENG Cheng.Method of ontology similarity calculation based on weighted[J].Computer Engineering and Design,2010,31(5). |
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| Authors: | L Gang ZHENG Cheng |
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| Affiliation: | LU Gang1,2,ZHENG Cheng1 (1. Educational Department Key Laboratory of Intelligent Computing , Signal Processing,Anhui University,Hefei 230039,China,2. Key Laboratory of Network , Intelligent Information Processing,Hefei University,Hefei 230601,China).. |
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| Abstract: | To optimize semantic reasoning with ontology-based,a method of ontology similarity calculation based on weighted is proposed. By defining the factor of depth and density,the impact of similarity calculation is resolved. Using Jena API,Lucene and other open-source toolkit,a query expansion method is proposed. Query expansion module result shows that compared with traditional similarity model and Subjective judgments,the weighted semantic similarity model improve the precision and efficiency obviously. |
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| Keywords: | ontology semantic distance semantic similarity semantic search semantic query expansion |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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