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| 一种改进的基于本体概念相似度计算方法研究 | |
| 引用本文： | 刘影,陈立,宋自林,董庆超,陈兴华,朱卫星,何继贤.一种改进的基于本体概念相似度计算方法研究[J].南京邮电大学学报(自然科学版),2011,31(6):60-66. |
| 作者姓名： | 刘影 陈立 宋自林 董庆超 陈兴华 朱卫星 何继贤 |
| 作者单位： | 1. 南京航空航天大学机电学院,江苏南京210018;解放军理工大学工程兵工程学院,江苏南京210007 2. 解放军理工大学指挥自动化学院,江苏南京,210007 3. 上海飞机设计研究院,上海,200436 4. 长沙职业技术学院,湖南长沙,410217 |
| 基金项目： | 江苏省博士后科研基金(1101087C)资助项目 |
| 摘 要： | 知网是一个英汉双语本体,含有丰富的语义知识.在综合考虑了知网中义原重合度、义原差度、层次深度等因素的基础上,提出了一种新颖的义原相似度计算方法,并在义原相似度计算的基础上,通过改进的匈牙利算法来计算基于知网的概念相似度,最后通过实验验证算法的有效性,与基于WordNet的方法相比,文中提出的基于知网的相似度计算一样可以取得较好的精确度. |
| 关 键 词： | 本体 知网 义原相似度 概念相似度 匈牙利算法 |
An Improved Ontology-based Method to Measure Similarity between Concepts |
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| LIU Ying , CHEN Li , SONG Zi-lin , DONG Qing-chao , CHEN Xing-hua , ZHU Wei-xing , HE Ji-xian.An Improved Ontology-based Method to Measure Similarity between Concepts[J].Journal of Nanjing University of Posts and Telecommunications,2011,31(6):60-66. | |
| Authors: | LIU Ying CHEN Li SONG Zi-lin DONG Qing-chao CHEN Xing-hua ZHU Wei-xing HE Ji-xian |
| Institution: | 1.College of Mechanical and Electrical Engineering,NUAA,Nanjing 210018,China2.Engineer Institute of Corps of Engineers,PLA University of Science & Technology,Nanjing 210007,China3.Institute of Command Automation,PLA University of Science & Technology,Nanjing 210007,China4.Shanghai Aircraft Design And Research Institute,Shanghai 200436,China5.Changsha Vocational & Technical College,Changsha 410217,China |
| Abstract: | HowNet is a Chinese-English bilingual ontology which provides plenty of knowledge.In this paper,we synthetically consider the factors of sememes superposition,sememes difference and hierarchical depth in HowNet and propose a novel approach to calculate the sememes similarity for HowNet.Base on the sememes similarity,we calculate the HowNet-based similarity between concepts using improved Hungarian algorithm.The experiments are done to evaluate the validity of our approach.Compared with other method,our HowNet-based approach can measure the similarity between concepts as well as those WordNet-based methods. |
| Keywords: | ontology HowNet sememes similarity concept similarity improved Hungarian algorithm |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |