{"title":"A multiplatform reasoning engine for the Semantic Web of Everything","authors":"Michele Ruta, Floriano Scioscia, Ivano Bilenchi, Filippo Gramegna, Giuseppe Loseto, Saverio Ieva, Agnese Pinto","doi":"10.1016/j.websem.2022.100709","DOIUrl":null,"url":null,"abstract":"<div><p><span>The Internet of Everything<span> and Semantic Web can be joined by giving more intelligence to pervasive systems. To that end, reasoning capabilities should be enabled even for very resource-constrained embedded devices. This paper presents </span></span><em>Tiny-ME</em><span> (the Tiny Matchmaking Engine), a matchmaking and reasoning engine<span> for the Web Ontology Language<span><span> (OWL), designed and implemented with a compact and portable C core. Main features are high resource efficiency and multiplatform support, spanning containerized microservices, desktops, </span>mobile devices<span><span><span>, and embedded boards. The OWLlink interface has been extended to enable non-standard reasoning services for matchmaking in Web, Cloud, and </span>Edge computing. A </span>prototype evaluation is proposed, including a case study on the </span></span></span></span><em>Pixhawk</em><span> Unmanned Aerial Vehicle (UAV) autopilot and performance highlights.</span></p></div>","PeriodicalId":75319,"journal":{"name":"","volume":"73 ","pages":"Article 100709"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1570826822000087","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
The Internet of Everything and Semantic Web can be joined by giving more intelligence to pervasive systems. To that end, reasoning capabilities should be enabled even for very resource-constrained embedded devices. This paper presents Tiny-ME (the Tiny Matchmaking Engine), a matchmaking and reasoning engine for the Web Ontology Language (OWL), designed and implemented with a compact and portable C core. Main features are high resource efficiency and multiplatform support, spanning containerized microservices, desktops, mobile devices, and embedded boards. The OWLlink interface has been extended to enable non-standard reasoning services for matchmaking in Web, Cloud, and Edge computing. A prototype evaluation is proposed, including a case study on the Pixhawk Unmanned Aerial Vehicle (UAV) autopilot and performance highlights.
万物互联(Internet of Everything)和语义网(Semantic Web)可以通过赋予普适性系统更多智能而结合在一起。为此，即使对于资源非常有限的嵌入式设备，也应该启用推理能力。本文介绍了一个基于Web本体语言(OWL)的匹配和推理引擎Tiny- me (the Tiny Matchmaking Engine)，它是用一个紧凑的、可移植的C内核设计和实现的。主要特点是资源效率高，支持多平台，支持容器化微服务、桌面、移动设备和嵌入式板。OWLlink接口已经得到扩展，可以为Web、云和边缘计算中的配对提供非标准推理服务。提出了一种原型机评估方法，包括对Pixhawk无人机(UAV)自动驾驶仪的案例研究和性能亮点。
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