Concept Approximation between Fuzzy Ontologies

作     者：LI Yan-hui XU Bao-wen LU Jian-jiang KANG Da-zhou ZHOU Jing-jing 

作者机构：Department of Computer Science and Engineering Southeast University Nanjing 210096 Jiangsu China Jiangsu Institute of Software Quality Nanjing 210096 JiangsuChina State Key Laboratory of Software Engineering Wuhan UniversityWuhan 430072 Hubei China Institute of Science The People＇s Liberation Army University of Science and Technology Nanjing 210007 Jiangsu China 

出 版 物：《Wuhan University Journal of Natural Sciences》 (武汉大学学报（自然科学英文版）)

年 卷 期：2006年第11卷第1期

页      面：73-77页

核心收录：

学科分类：08[工学] 080402[工学-测试计量技术及仪器] 0804[工学-仪器科学与技术] 

基　　金：Supported by the National Natural Science Foundation of China(60373066   60425206   90412003)   National Grand Fundamental Research 973Programof China(2002CB312000)   National Research Foundationfor the DoctoralProgramof Higher Education of China (20020286004) 

主　　题：semantic Web fuzzy ontology fuzzy description logies fuzzy concept approximation 

摘      要：Fuzzy ontologics are efficient tools to handle fuzzy and uncertain knowledge on the semantic web; but there are heterogeneity problems when gaining interoperability among different fuzzy ontologies. This paper uses concept approximation between fuzzy ontologies based on instances to solve the heterogeneity problems. It firstly proposes an instance selection technology based on instance clustering and weighting to unify the fuzzy interpretation of different ontologies and reduce the number of instances to increase the efficiency. Then the paper resolves the problem of computing the approximations of concepts into the problem of computing the least upper approximations of atom concepts. It optimizes the search strategies by extending atom concept sets and defining the least upper bounds of concepts to reduce the searching space of the problem. An efficient algorithm for searching the least upper bounds of concept is given.