物联网模式互操作性的轻量级领域特定本体的阐述

V. Sithole, L. Marshall
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引用次数: 1

摘要

正确的知识表示和概念分析通常需要明确的本体论支持。对于大型领域来说尤其如此,在这些领域中,需要对术语进行明确的正式规范来编码知识,从而使最终用户能够理解这些术语。在物联网(IoT)中,针对各种设备和物联网平台的解决方案有了实质性的发展。这些解决方案基于现有的已知模式,这些模式需要实现无缝连接和跨平台资源共享的互操作性。然而,据我们所知,促进物联网互操作性的模式关系是没有文档记录的。因此,为物联网模式的互操作性开发特定领域本体的活动是组织物联网范式的基本步骤之一。然而,很明显,这一活动以及其他工程活动,特别是关于本体的开发,经常由于使用令人困惑的语义术语和密集的本体结构而变得复杂。这往往导致本体论的解释性恐怖,本体论的本质被隐藏而不是突出。因此,在本文中,我们倾向于开发一个轻量级的本体,以清楚地显示物联网模式之间的关系维度。我们使用实证分析来识别大规模物联网技术和模式互操作性下的核心对象。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Exposition of a Lightweight Domain-specific Ontology for the Interoperability of the Internet of Things Patterns
Proper knowledge representation and conceptual analysis often require clear ontological support. This is particularly true for large domains in which explicit formal specifications of the terms is required for encoding knowledge, thus making it understandable to the end users. In the Internet of Things (IoT), there is a substantial development of solutions for a wide range of devices and IoT platforms. These solutions are based on existing known patterns which require interoperability for seamless connection and cross-platform resource sharing. However, to the best of our knowledge, pattern relationships for facilitating interoperability in the IoT are undocumented. The activity of developing a domain-specific ontology for the interoperability of the IoT patterns is therefore one of the fundamental steps in the organization of the IoT paradigm. It is clear, however, that this activity as well as other engineering activities, particularly with regard to the development of ontologies is often made complex by the use of confusing semantic terminologies and dense ontological structures. This often lead to ontological explicative horrors in which the essence of the ontology is hidden instead of highlighted. In this paper, we thus prefer to develop a lightweight ontology that clearly display relational dimensions between the IoT patterns. We use empirical analysis to identify core objects underneath the interoperability of the IoT technologies and patterns at a large-scale.
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