标题： 事件的概念建模与分类 显示英文标题

标题： Conceptual Modeling and Classification of Events

摘要： 本文是关于一种称为“思维机器”(Tming Machine, TM)的图解方法的研究项目的一个后续研究。最初，它被提议作为概念建模（例如，概念UML）的基础，特别是在需求工程等领域。 概念建模涉及对现实世界系统的一种高层次表示，该系统整合了各种组件以将其细化为更具体的（计算机）可执行形式。 通过在几个研究领域中应用TM，并扩展其理论和本体论基础，TM项目已经发展成为一种更全面的方法。 因此，本文的第一部分涉及增强一些与存在事件结构相关的TM方面，例如缺席事件。 本文的第二部分重点讨论如何分类事件以及事件之间可以识别的关系类型。 事件的概念在建模中占据了中心地位。 它影响着计算机科学以及语言学、概率论、人工智能、物理学、哲学和历史等如此多样化的学科。 在TM中，事件被定义为所谓的“事件机”（thing/machine），它赋予“区域”这一静态描述动态性。 一个区域是一种基于五个通用动作的图解规范：创建、处理、释放、传输和接收。 这项研究的结果提供了（a）概念建模的丰富性，特别是关于存在种类的多样性，例如否定命题的缺席事件，以及（b）一种新类型的分类建议，即基于TM模型图的图形分类，而不是事件的语义分类。 显示英文摘要

摘要： This paper is a sequel to an evolving research project on a diagrammatic methodology called thinging machine (TM). Initially, it was proposed as a base for conceptual modelling (e.g., conceptual UML) in areas such as requirement engineering. Conceptual modelling involves a high-level representation of a real-world system that integrates various components to refine it into a more concrete (computer) executable form. The TM project has progressed into a more comprehensive approach by applying it in several research areas and expanding its theoretical and ontological foundation. Accordingly, the first part of the paper involves enhancing some TM aspects related to structuring events in existence, such as absent events. The second part of the paper focuses on how to classify events and the kinds of relationships that can be recognized among events. The notion of events has occupied a central role in modelling. It influences computer science and such diverse disciplines as linguistics, probability theory, artificial intelligence, physics, philosophy and history. In TM, an event is defined as the so-called thimac (thing/machine) with a time breath that infuses dynamism into the static description of the thimac called a region. A region is a diagrammatic specification based on five generic actions: create, process, release, transfer and receive. The results of this research provide (a) an enrichment of conceptual modelling, especially concerning varieties of existence, e.g., absent events of negative propositions, and (b) a proposal that instead of semantic categorizations of events, it is possible to develop a new type of classification based on graphs grounded on the TM model diagrams.