面向语义信息的案例知识表达与相似度计算方法研究  

Case Knowledge Representation and Conceptual Similarity Computation Based on Semantic Information

作　　者：向东[1] 赵勇[1] 陈阳[1] 

机构地区：[1]华中科技大学系统工程研究所,湖北武汉430074

出　　处：《计算机工程与科学》2011年第12期159-166,共8页Computer Engineering & Science

基　　金：国家863计划资助项目(2009AA04Z107);中国高等学校博士学科点专项科研基金(20100142120088);湖北省软科学基金;高等院校自主创新基金

摘　　要：传统的案例知识表达与共享方式已越来越难以满足目前产品设计对案例知识获取的要求。为了实现异构案例知识的表达与重用,本文面向语义信息提出了一个由概念、表达、特征、类型构成的案例知识本体,旨在对案例知识进行概念化与语义化,并通过概念之间的关系生成概念树,为案例相似性分析提供一个量化方法。为了对案例进行比较、评价和挖掘,探讨了一种基于概念相似度与概念属性相似度的计算方法。另外,结合开发的车门案例知识库说明了模型与方法的可行性和有效性。The traditional methods of expressing and sharing case knowledge are increasingly difficult to satisfy the demand for case knowledge in product design.Based on semantic information,a case knowledge ontology which is composed of notion,expression,feature and type is proposed to achieve expressing and reusing isomerous case knowledge in this paper.It is our aim to make the case knowledge conceptualized and semantized.In order to analyse the concept similarity,a concept tree is generated on the relationship of concepts.Based on concept similarity and property similarity,a method is studied to compare,evaluate and excavate for cases.In addition,the feasibility and effectiveness of the method and the model are explained by a case of designing car doors.

关 键 词：案例知识 概念相似度 本体 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]