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物联网集成语义服务平台:以智能办公室为例

Integrated semantics service platform for the Internet of Things: a case study of a smart office.

作者信息

Ryu Minwoo, Kim Jaeho, Yun Jaeseok

机构信息

Embedded Software Convergence Research Center, Korea Electronics Technology Institute, 25 Saenari-ro, Bundang-gu, Seongnam 463070, Korea.

出版信息

Sensors (Basel). 2015 Jan 19;15(1):2137-60. doi: 10.3390/s150102137.

Abstract

The Internet of Things (IoT) allows machines and devices in the world to connect with each other and generate a huge amount of data, which has a great potential to provide useful knowledge across service domains. Combining the context of IoT with semantic technologies, we can build integrated semantic systems to support semantic interoperability. In this paper, we propose an integrated semantic service platform (ISSP) to support ontological models in various IoT-based service domains of a smart city. In particular, we address three main problems for providing integrated semantic services together with IoT systems: semantic discovery, dynamic semantic representation, and semantic data repository for IoT resources. To show the feasibility of the ISSP, we develop a prototype service for a smart office using the ISSP, which can provide a preset, personalized office environment by interpreting user text input via a smartphone. We also discuss a scenario to show how the ISSP-based method would help build a smart city, where services in each service domain can discover and exploit IoT resources that are wanted across domains. We expect that our method could eventually contribute to providing people in a smart city with more integrated, comprehensive services based on semantic interoperability.

摘要

物联网(IoT)使全球的机器和设备能够相互连接并生成大量数据,这在跨服务领域提供有用知识方面具有巨大潜力。将物联网的背景与语义技术相结合,我们可以构建集成语义系统以支持语义互操作性。在本文中,我们提出了一个集成语义服务平台(ISSP),以支持智能城市中基于物联网的各个服务领域的本体模型。具体而言,我们解决了与物联网系统一起提供集成语义服务的三个主要问题:语义发现、动态语义表示以及物联网资源的语义数据存储库。为了展示ISSP的可行性,我们使用ISSP为智能办公室开发了一个原型服务,该服务可以通过解释来自智能手机的用户文本输入来提供预设的个性化办公环境。我们还讨论了一个场景,以展示基于ISSP的方法将如何帮助构建智能城市,其中每个服务领域中的服务可以发现并利用跨领域所需的物联网资源。我们期望我们的方法最终能够基于语义互操作性为智能城市中的人们提供更集成、全面的服务。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e040/4327120/fceb544c5894/sensors-15-02137f1.jpg

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