首页 | 本学科首页   官方微博 | 高级检索  
     

基于SUMO的概念语义相似度研究
引用本文:徐德智,郑春卉,K.Passi.基于SUMO的概念语义相似度研究[J].计算机应用,2006,26(1):180-0183.
作者姓名:徐德智  郑春卉  K.Passi
作者单位:1. 中南大学,信息科学与工程学院,湖南,长沙,410083
2. 罗伦蒂安大学数学与计算机学院,加拿大
摘    要:SUMO(建议上层共享知识本体)是由IEEE标准上层知识本体工作小组所建置的,其目的是发展标准的上层知识本体,这将促进数据互通性、信息搜寻和检索、自动推理和自然语言处理。基于该共享知识本体,提出了一种计算两概念语义相似度的方法。根据该方法实现了一个计算程序模块,并将计算结果同人类的主观判断进行了比较,验证了该方法的有效性。该研究工作可以在面向Web的知识检索领域中得到应用,还可以为本体的相关研究提供一定的理论基础。

关 键 词:语义距离  语义相似度  主观判断
文章编号:1001-9081(2006)01-0180-04
收稿时间:2005-07-10
修稿时间:2005-07-102005-08--26

Concept semantic similarity research based on SUMO
XU De-zhi,ZHENG Chun-hui,K.Passi.Concept semantic similarity research based on SUMO[J].journal of Computer Applications,2006,26(1):180-0183.
Authors:XU De-zhi  ZHENG Chun-hui  KPassi
Affiliation:1. College of Information Science and Engineering, Central South University, Changsha Hunan 410083, China; 2. Department of Math and Computer Science, Laurentian University, Sudbury Canada
Abstract:The Suggested Upper Merged Ontology(SUMO) is an effort by the Standard Upper Ontology Working Group of IEEE.The goal is to develop the Standard Upper Ontology, which will encourage interoperability,information searching,automatic reasoning and natural language processing.A method for computing the semantic similarity of two concepts was proposed and implemented as a computing module.Finally,the results got from the program were compared with the judgments of subjects.Through this experiment,the method is proved valid.The research can be applied in the field of knowledge searching,and it provides a theoretical foundation for the relevant research on ontology.
Keywords:SUMO
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《计算机应用》浏览原始摘要信息
点击此处可从《计算机应用》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号