基于最小概念集的多知识库整合  

Integration of Multiple Knowledge Bases Based on Minimal Concept Sets

作　　者：彭志平[1] 夏战锋[2] 

机构地区：[1]广东石油化工学院计算机科学与技术系,广东茂名525000 [2]江苏科技大学计算机科学与工程学院,江苏镇江212003

出　　处：《计算机工程》2011年第8期28-30,33,共4页Computer Engineering

基　　金：广东省自然科学基金资助项目"面向自主计算的BDI-PCAgent研究及其应用"(8152500002000003);广东省自然科学基金资助项目(10252500002000001)

摘　　要：在语义Web环境下,知识库往往是单一、分散的,阻碍了语义Web的发展。为此,提出一种基于最小概念集的多知识库整合方法。定义知识库系统的最小概念集,给出生成最小概念集的方法,对基于风险最小化的本体映射模型中的映射策略进行改进,并设计基于最小概念集的多知识库整合算法,通过应用实例验证算法的复杂度。In the context of semantic Web, knowledge bases sometimes are single and dispersed. As a result, it hampers the development of semantic Web. A method of integration of multiple knowledge bases based on minimal concept sets is proposed. The minimal concept sets are defined. The method of generating minimal concept sets is given and mapping＇s strategies in ontology mapping model based on risk minimization are improved and integration algorithm of multiple knowledge bases on basis of minimal concept set is designed. The complexity of the algorithm is proved by an application example.

关 键 词：语义WEB 多知识库 最小概念集 整合 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]