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From Information Description to Information Understanding: The Role of Ontology in Emerging SISO Standards

机译:从信息描述到信息理解:本体在新兴SISO标准中的作用

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A critical challenge in computing is making human information intelligible to automated systems. The long-standing domain of Knowledge Representation in the field of artificial intelligence addresses this challenge through both representation schemes (how information is encoded) and computational algorithms (how information is processed). For distributed systems on the scale of the World Wide Web, numerous researchers and organizations have laid out a technical approach and road map, often referred to as the Semantic Web and Semantic Web Stack, respectively. These technologies are intended to improve the encoding of semantics to enable automated systems to perform reasoning that will assist human users more effectively. Formalization of information into an ontology using a standard encoding language such as the Web Ontology Language (OWL) creates opportunities for advanced capabilities. Just as we have seen adoption of XML in the Simulation Interoperability Standards Organization (SISO) as a means for specifying standards for interoperability over the past 15 years, it appears likely that a similar transition is necessary in the coming years as the community becomes more aware of the opportunities and benefits from using formal semantic representations in specification and use of its interoperability standards. A Simulation Interoperability Standards Organization (SISO) Product Development Group (PDG) is developing a standard for Command and Control System to Simulation System Interoperation (C2SIM). The C2SIM standard will improve upon and replace the current SISO standards Military Scenario Definition Language (MSDL; SISO-STD-007-2008) and Coalition Battle Management Language (C-BML; SISO-STD-011-2014). Current work in the PDG is specifying a core logical data model ontology addressing key areas of C2-to-Simulation interoperation such as initialization and tasking/reporting. This paper discusses motivation of using ontology as the specification language for the C2SIM standard and explores some of the capabilities that will be obtained from this approach in the short-term and over time as the approach gains more widespread adoption.
机译:计算领域的一个关键挑战是使自动化系统能够理解人类信息。人工智能领域中长期存在的知识表示领域通过表示方案(信息如何编码)和计算算法(信息如何处理)来应对这一挑战。对于万维网规模的分布式系统,许多研究人员和组织已经制定了技术方法和路线图,通常分别称为语义网和语义网堆栈。这些技术旨在改进语义编码,使自动化系统能够执行推理,从而更有效地帮助人类用户。使用标准编码语言(如Web本体语言(OWL))将信息形式化为本体,为实现高级功能创造了机会。正如我们在仿真互操作性标准组织(Simulation Interoperability Standards Organization,SISO)中看到的那样,在过去15年中,XML的采用是一种指定互操作性标准的手段,随着社区越来越意识到在规范中使用正式语义表示和使用其互操作性标准所带来的机遇和好处,未来几年可能需要进行类似的过渡。一个仿真互操作性标准组织(SISO)产品开发组(PDG)正在开发一个指挥和控制系统到仿真系统互操作(C2SIM)标准。C2SIM标准将改进并取代当前的SISO标准军事场景定义语言(MSDL;SISO-STD-007-2008)和联盟作战管理语言(C-BML;SISO-STD-011-2014)。PDG的当前工作是指定一个核心逻辑数据模型本体,解决C2至仿真互操作的关键领域,如初始化和任务分配/报告。本文讨论了使用本体作为C2SIM标准规范语言的动机,并探讨了随着该方法得到更广泛的采用,该方法将在短期内和长期内获得的一些功能。

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