【摘要】 本体采用形式化的方式表达和规范某一领域共享的知识。当前本体表达语言普遍将描述逻辑(Description Logic,DL)作为其逻辑基础。利用本体对领域知识进行表达,形成共享的领域知识库。知识库中的领域术语(概念)一般都是分类层次结构但并不完整,并且包含很多的隐藏信息。借助于描述逻辑的推理服务,可以将知识库中的隐藏信息挖掘出来,从而得到充分完备的概念层次结构。研究了基于描述逻辑的知识库概念分类优化算法,分析了影响算法性能的主要因素,并提出了一种逻辑独立的标记矩阵优化方法,可以在一定程度上提升分类算法的性能。更多还原

【Abstract】 Currently,ontologies are expressed by Description Logic(DL) based ontology languages in order to take advantage of reasoning service of DL.Generally,ontology is a taxonomic Knowledge Base(KB) to specify the terminologies of particular domain.However,these knowledge bases consist of a majority of visible classification,which is genera-lly incomplete and needed to explore the unconspicuous taxonomy.We made a survey of optimising techniques associated with terminology classification algorithm and proposed a novel tagging optimization which can speed up classification to some extent.更多还原