Gyrard Amelie, Zimmermann Antoine, Sheth Amit
Mines Saint-Etienne, Univ Lyon, Univ Jean Monnet, IOGS, CNRS, UMR 5516 LHC, Institut Henri Fayol, F - 42023 Saint-Etienne France.
Kno.e.sis, Wright State University, USA.
IEEE Internet Things J. 2018 Oct;5(5):3978-3990. doi: 10.1109/jiot.2018.2854278. Epub 2018 Jul 10.
The Internet of Things (IoT) plays an ever-increasing role in enabling Smart City applications. An ontology-based semantic approach can help improve interoperability between a variety of IoT-generated as well as complementary data needed to drive these applications. While multiple ontology catalogs exist, using them for IoT and smart city applications require significant amount of work. In this paper, we demonstrate We consider four ontology catalogs that are relevant for IoT and smart cities: READY4SmartCities, LOV, OpenSensingCity (OSC) and, LOV4IoT. To support semantic interoperability with the reuse of ontology-based smart city applications, we present a methodology to enrich ontology catalogs with those ontologies. Our methodology is generic enough to be applied to any other domains as is demonstrated by its adoption by OSC and LOV4IoT ontology catalogs. Researchers and developers have completed a survey based evaluation of the LOV4IoT catalog. The usefulness of ontology catalogs ascertained through this evaluation has encouraged their ongoing growth and maintenance. The quality of IoT and smart city ontologies have been evaluated to improve the ontology catalog quality. We also share the lessons learned regarding ontology best practices and provide suggestions for ontology improvements with a set of software tools.
物联网(IoT)在推动智慧城市应用方面发挥着越来越重要的作用。基于本体的语义方法有助于提高物联网生成的各种数据以及驱动这些应用所需的补充数据之间的互操作性。虽然存在多个本体目录,但将它们用于物联网和智慧城市应用需要大量工作。在本文中,我们展示了 我们考虑了四个与物联网和智慧城市相关的本体目录:READY4SmartCities、LOV、OpenSensingCity(OSC)和LOV4IoT。为了通过基于本体的智慧城市应用的重用支持语义互操作性,我们提出了一种用这些本体丰富本体目录的方法。我们的方法具有足够的通用性,可以应用于任何其他领域,OSC和LOV4IoT本体目录对它的采用就证明了这一点。研究人员和开发人员已经完成了一项基于调查的LOV4IoT目录评估。通过该评估确定的本体目录的有用性鼓励了它们的持续发展和维护。为了提高本体目录质量,已经对物联网和智慧城市本体的质量进行了评估。我们还分享了关于本体最佳实践的经验教训,并通过一组软件工具为本体改进提供建议。