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| 1 | 复杂层次模型中知识表达与推理方法研究显示文摘工程教育认证背景下的人才培养体系,是典型的复杂层次系统.采用多色集合及其元素、着色、围道矩阵和体运算等概念,建立复杂系统层次结构模型,从水平和纵向两个方向对该模型进行形式化描述,并给出复杂层次结构模型的形式化推理算法流程.基于多色集合为工程教育认证背景下的人才培养体系构建的层次结构模型,在逻辑层实现了知识自顶向下、自底向上的单向自动推理和同时向下、向上的双向自动推理,在问题的形式化描述、信息的高效率处理和程序的快速实现等方面具有明显优势.构建工程教育人才培养体系层次结构模型并提出知识的表达与推理方法,对开展工程教育专业认证工作、提高人才培养质量都具有重要意义,同时也为复杂系统模型构建及其知识推理分析提供了一种新的有效方法. | 王雪萍 高新勤 | 2019 | 系统工程理论与实践2019，39，11： | 3 |
| 2 | Extracting a justification for OWL ontologies by critical axioms显示文摘Extracting justifications for web ontology language(OWL)ontologies is an important mission in ontology engineering.In this paper,we focus on black-box techniques which are based on ontology reasoners.Through creating a recursive expansion procedure,all elements which are called critical axioms in the justification are explored one by one.In this detection procedure,an axiom selection function is used to avoid testing irrelevant axioms.In addition,an incremental reasoning procedure has been proposed in order to substitute series of standard reasoning tests w.r.t.satisfiability.It is implemented by employing a pseudo model to detect“obvious”satisfiability directly.The experimental results show that our proposed strategy for extracting justifications for OWL ontologies by adopting incremental expansion is superior to traditional Black-box methods in terms of efficiency and performance. | Yuxin YE Xianji CUI Dantong OUYANG | 2020 | Frontiers of Computer Science2020，14，4： | 0 |
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