SARGON – Smart energy domain ontology

IF 2.1 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS IET Smart Cities Pub Date : 2020-10-28 DOI:10.1049/iet-smc.2020.0049
Maliheh Haghgoo, Ilya Sychev, Antonello Monti, Frank H.P. Fitzek
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引用次数: 13

Abstract

The internet of things (IoT) is a paradigm where the fragmentation of standards, platforms, services, and technologies, often scattered among different vertical domains. Consequently, the smart energy system is one of the vertical domains in which IoT technology is investigated. At the early stages of studying the IoT domains that deal with big data and interoperability, a semantic layer can be served to approach the difficulty of heterogeneity in information and data representation from IoT devices. In 2015, smart appliance reference ontology (SAREF) was introduced to interconnect data of smart devices and facilitate the communication between IoT devices that use different protocols and standards. The modular design of SAREF concedes the definition of any new vertical domain describing functions that the devices perform. In this study, SARGON – SmArt eneRGy dOmain oNtology is offered which extends SAREF to cross-cut domain-specific information representing the smart energy domain and includes building and electrical grid automation together. SARGON ontology is powered by smart energy standards and IoT initiatives, as well as real use cases. It involves classes, properties, and instances explicitly created to cover the building and electrical grid automation domain. This study exhibits the development of SARGON and demonstrates it through a web application.

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SARGON——智能能源领域本体
物联网(IoT)是标准、平台、服务和技术碎片化的范例,通常分散在不同的垂直领域中。因此,智能能源系统是研究物联网技术的垂直领域之一。在研究处理大数据和互操作性的物联网领域的早期阶段,可以提供语义层来解决来自物联网设备的信息和数据表示异构的困难。2015年,智能家电参考本体(smart appliance reference ontology, SAREF)被引入,用于互联智能设备的数据,促进使用不同协议和标准的物联网设备之间的通信。SAREF的模块化设计允许定义描述器件执行的功能的任何新的垂直域。本研究提出了SARGON -智能能源领域本体,将SAREF扩展到代表智能能源领域的横切特定领域信息,并将建筑自动化和电网自动化结合在一起。SARGON本体由智能能源标准和物联网计划以及实际用例提供支持。它涉及显式创建的类、属性和实例,以覆盖建筑和电网自动化领域。本研究展示了SARGON的开发,并通过一个web应用程序进行了演示。
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来源期刊
IET Smart Cities
IET Smart Cities Social Sciences-Urban Studies
CiteScore
7.70
自引率
3.20%
发文量
25
审稿时长
21 weeks
期刊最新文献
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