Suppr超能文献

语义感知的传感器即插即用技术在传感器网络中的应用。

Semantically-enabled sensor plug & play for the sensor web.

机构信息

Institute for Geoinformatics, University of Münster, D-48151 Münster, Germany.

出版信息

Sensors (Basel). 2011;11(8):7568-605. doi: 10.3390/s110807568. Epub 2011 Aug 2.

Abstract

Environmental sensors have continuously improved by becoming smaller, cheaper, and more intelligent over the past years. As consequence of these technological advancements, sensors are increasingly deployed to monitor our environment. The large variety of available sensor types with often incompatible protocols complicates the integration of sensors into observing systems. The standardized Web service interfaces and data encodings defined within OGC's Sensor Web Enablement (SWE) framework make sensors available over the Web and hide the heterogeneous sensor protocols from applications. So far, the SWE framework does not describe how to integrate sensors on-the-fly with minimal human intervention. The driver software which enables access to sensors has to be implemented and the measured sensor data has to be manually mapped to the SWE models. In this article we introduce a Sensor Plug & Play infrastructure for the Sensor Web by combining (1) semantic matchmaking functionality, (2) a publish/subscribe mechanism underlying the SensorWeb, as well as (3) a model for the declarative description of sensor interfaces which serves as a generic driver mechanism. We implement and evaluate our approach by applying it to an oil spill scenario. The matchmaking is realized using existing ontologies and reasoning engines and provides a strong case for the semantic integration capabilities provided by Semantic Web research.

摘要

在过去的几年中,环境传感器通过变得更小、更便宜、更智能而不断得到改进。由于这些技术进步,传感器越来越多地被部署来监测我们的环境。可用的传感器类型种类繁多,而且协议通常不兼容,这使得将传感器集成到观测系统中变得复杂。OGC 的传感器 Web 使能 (SWE) 框架中定义的标准化 Web 服务接口和数据编码使传感器能够通过 Web 访问,并将异构的传感器协议隐藏在应用程序之外。到目前为止,SWE 框架并没有描述如何在最小的人工干预下实时集成传感器。用于访问传感器的驱动软件必须实现,并且必须手动将测量的传感器数据映射到 SWE 模型。在本文中,我们通过组合 (1) 语义匹配功能、(2) 传感器 Web 底层的发布/订阅机制,以及 (3) 用于声明性描述传感器接口的模型,为传感器 Web 引入了一种即插即用的基础设施。我们通过将其应用于溢油场景来实现和评估我们的方法。匹配是使用现有的本体和推理引擎来实现的,为语义 Web 研究提供的语义集成能力提供了一个很好的例子。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3016/3231708/04e3ce4675ff/sensors-11-07568f1.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验