摘要翻译：
许多应用领域需要表示相互关联的现实世界活动和/或不断演化的物理现象。例如，在危机应对领域，人们可能有兴趣表示正在发生的危机（例如，森林火灾）的状态、诸如疏散和交通控制等应对活动的进展以及危机现场的状态。这样的情况表示可以用于支持多种应用程序，包括情况监视、分析和规划。在本文中，我们提出了一种基于事件的情形表示，其中事件被定义为在空间和时间上特定于领域的显著事件。我们认为，事件为构建态势感知应用程序提供了统一而强大的抽象。我们指出了建立事件管理系统(EMS)的挑战，传统的数据和知识管理系统被证明是有限的，并提出了解决这些挑战的可能方向和技术。
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英文标题：
《An Event Based Approach To Situational Representation》
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作者：
Naveen Ashish, Dmitri Kalashnikov, Sharad Mehrotra and Nalini
  Venkatasubramanian
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最新提交年份：
2009
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分类信息：

一级分类：Computer Science        计算机科学
二级分类：Databases        数据库
分类描述：Covers database management, datamining, and data processing. Roughly includes material in ACM Subject Classes E.2, E.5, H.0, H.2, and J.1.
涵盖数据库管理、数据挖掘和数据处理。大致包括ACM学科类E.2、E.5、H.0、H.2和J.1中的材料。
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一级分类：Computer Science        计算机科学
二级分类：Artificial Intelligence        人工智能
分类描述：Covers all areas of AI except Vision, Robotics, Machine Learning, Multiagent Systems, and Computation and Language (Natural Language Processing), which have separate subject areas. In particular, includes Expert Systems, Theorem Proving (although this may overlap with Logic in Computer Science), Knowledge Representation, Planning, and Uncertainty in AI. Roughly includes material in ACM Subject Classes I.2.0, I.2.1, I.2.3, I.2.4, I.2.8, and I.2.11.
涵盖了人工智能的所有领域，除了视觉、机器人、机器学习、多智能体系统以及计算和语言（自然语言处理），这些领域有独立的学科领域。特别地，包括专家系统，定理证明（尽管这可能与计算机科学中的逻辑重叠），知识表示，规划，和人工智能中的不确定性。大致包括ACM学科类I.2.0、I.2.1、I.2.3、I.2.4、I.2.8和I.2.11中的材料。
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英文摘要：
  Many application domains require representing interrelated real-world activities and/or evolving physical phenomena. In the crisis response domain, for instance, one may be interested in representing the state of the unfolding crisis (e.g., forest fire), the progress of the response activities such as evacuation and traffic control, and the state of the crisis site(s). Such a situation representation can then be used to support a multitude of applications including situation monitoring, analysis, and planning. In this paper, we make a case for an event based representation of situations where events are defined to be domain-specific significant occurrences in space and time. We argue that events offer a unifying and powerful abstraction to building situational awareness applications. We identify challenges in building an Event Management System (EMS) for which traditional data and knowledge management systems prove to be limited and suggest possible directions and technologies to address the challenges.
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PDF链接：
https://arxiv.org/pdf/0906.4096