Semantically-Enabled Sensor Plug & Play for the Sensor Web

被引:65
作者
Broering, Arne [1 ,2 ,3 ]
Maue, Patrick [1 ]
Janowicz, Krzysztof [3 ,4 ]
Nuest, Daniel [1 ,3 ]
Malewski, Christian [1 ]
机构
[1] Univ Munster, Inst Geoinformat, D-48151 Munster, Germany
[2] Univ Twente, ITC Fac, NL-7522 NB Enschede, Netherlands
[3] 52 N Initiat Geospatial Open Source Software, D-48155 Munster, Germany
[4] Univ Calif Santa Barbara, Dept Geog, Santa Barbara, CA 93106 USA
关键词
Sensor Web Enablement; Sensor Plug & Play; sensor integration; Semantic Web; sensor bus; sensor interface descriptors; semantic matching; ontology alignment; ONTOLOGY; SIMILARITY; DISCOVERY; KNOWLEDGE; MODEL;
D O I
10.3390/s110807568
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
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 Sensor Web, 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.
引用
收藏
页码:7568 / 7605
页数:38
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