arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1606.08968cs.NI
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基于知识的物联网资源发现

A Knowledge-Based Resource Discovery for Internet of Things

Charith Perera, Athanasios V. Vasilakos

摘要:

在传感即服务范式中,物联网(IoT)中间件平台允许数据消费者在不知道IoT资源(即传感器和数据处理组件)的底层技术细节的情况下检索他们想要的数据。然而,配置物联网中间件平台和检索数据对于数据消费者来说是一个重大挑战,因为它需要技术知识和领域专业知识。在本文中,我们提出了一种知识驱动的方法,称为上下文感知传感器配置模型(CASCOM),以简化配置物联网中间件平台的过程,因此数据消费者,特别是非技术人员,可以轻松地检索他们所需的数据。在本文中,我们演示了如何使用语义来描述物联网资源,以便它们以后可以用于组成服务工作流。这种基于语义知识的物联网资源自动组合方法推进了当前的研究。我们通过一个基于物联网中间件的原型实现(称为全球传感器网络(GSN))来展示我们方法的可行性和可用性,尽管我们的模型可以推广到任何其他中间件平台。

英文摘要:

In the sensing as a service paradigm, Internet of Things (IoT) Middleware platforms allow data consumers to retrieve the data they want without knowing the underlying technical details of IoT resources (i.e. sensors and data processing components). However, configuring an IoT middleware platform and retrieving data is a significant challenge for data consumers as it requires both technical knowledge and domain expertise. In this paper, we propose a knowledge driven approach called Context Aware Sensor Configuration Model (CASCOM) to simplify the process of configuring IoT middleware platforms, so the data consumers, specifically non-technical personnel, can easily retrieve the data they required. In this paper, we demonstrate how IoT resources can be described using semantics in such away that they can later be used to compose service work-flows. Such automated semantic-knowledge based IoT resource composition approach advances the current research. We demonstrate the feasibility and the usability of our approach through a prototype implementation based on an IoT middleware called Global Sensor Networks (GSN), though our model can be generalized to any other middleware platform.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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