煤矿事故领域知识元及相关模型构建研究

发布时间：2018-10-16 11:46

【摘要】：本文引入知识元对煤矿事故领域的信息、知识的描述、组织等有关问题进行研究。首先，根据共性知识元模型的特点在传统描述逻辑ALC（Attributive Concept Description Languagewith Complements）基础上通过扩展概念和关系、添加反关系构造器提出了描述逻辑KEDL（知识元描述逻辑），建立了KEDL的语法、语义、公理体系，证明得出KEDL语法推论和语义推论等价等性质；其次，采用系统论把面向应急管理的煤矿事故涉及的相关事物分为煤矿事故系统、煤矿客观事物系统、应急管理活动系统，分别把其分到管理学范畴下不可再分，，提取其对应的属性要素及关系，基于共性知识元模型分别建立了表达煤矿事故领域所涉及的相关事物和信息的三种知识元及它们的模型；另外，基于本体论建立了煤矿事故领域知识元本体模型，该模型由煤矿客观事物系统知识元本体、煤矿事故知识元本体、煤矿事故应急活动知识元本体组成；最后，基于复杂网络对煤矿事故领域知识元网络进行研究，建立其数学模型，从收集大量事故案例中提取知识元及关系，建立了煤矿事故领域知识元网络，分析得到该网络具有小世界和无标度等特性。通过实例验证，本文提出的逻辑系统和相关知识元模型是合理的。
[Abstract]:In this paper, knowledge element is introduced to study the information, knowledge description and organization in the field of coal mine accidents. First of all, according to the characteristics of the generic knowledge metamodel, based on the traditional description logic ALC (Attributive Concept Description Languagewith Complements), the description logic KEDL (knowledge meta-description logic) is put forward by extending the concept and relation, and the syntax and semantics of KEDL are established. The axiomatic system proves that the KEDL grammar inference and semantic inference are equivalent. Secondly, the system theory is used to divide the related things involved in coal mine accidents for emergency management into coal mine accident system, coal mine objective thing system, and so on. The system of emergency management activities, which is divided into two categories of management, can not be further divided, and extracts its corresponding attribute elements and relationships. Based on the common knowledge element model, three kinds of knowledge elements and their models are established to express the related things and information in the field of coal mine accident, in addition, the ontology model of knowledge element of coal mine accident field is established based on ontology. The model is composed of knowledge element ontology of coal mine objective object system and knowledge element ontology of coal mine accident emergency activities. Finally, based on complex network, the knowledge element network in coal mine accident field is studied. The mathematical model is established, the knowledge element and its relationship are extracted from a large number of accident cases, and the knowledge element network in the field of coal mine accident is established. It is found that the network has the characteristics of small world and no scale. The logical system and related knowledge metamodel presented in this paper are reasonable.
【学位授予单位】：中国矿业大学（北京）
【学位级别】：博士
【学位授予年份】：2013
【分类号】：X936;TP391.1

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