万物语义网的多平台推理引擎

IF 2.1 3区计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Journal of Web Semantics Pub Date : 2022-07-01 DOI:10.1016/j.websem.2022.100709

Michele Ruta, Floriano Scioscia, Ivano Bilenchi, Filippo Gramegna, Giuseppe Loseto, Saverio Ieva, Agnese Pinto

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引用次数: 6

摘要

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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A multiplatform reasoning engine for the Semantic Web of Everything

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.

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来源期刊

Journal of Web Semantics 工程技术-计算机：人工智能

CiteScore

6.20

自引率

12.00%

发文量

审稿时长

14.6 weeks

期刊介绍： The Journal of Web Semantics is an interdisciplinary journal based on research and applications of various subject areas that contribute to the development of a knowledge-intensive and intelligent service Web. These areas include: knowledge technologies, ontology, agents, databases and the semantic grid, obviously disciplines like information retrieval, language technology, human-computer interaction and knowledge discovery are of major relevance as well. All aspects of the Semantic Web development are covered. The publication of large-scale experiments and their analysis is also encouraged to clearly illustrate scenarios and methods that introduce semantics into existing Web interfaces, contents and services. The journal emphasizes the publication of papers that combine theories, methods and experiments from different subject areas in order to deliver innovative semantic methods and applications.