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Linking Sensor Data – Why, to What, and How?Open Access

Keßler Carsten, Janowicz Krzysztof

Research article in edited proceedings (conference) | Peer reviewed

Abstract

The Sensor Web provides access to observations and measurements through standardized interfaces defined by the Open Geospatial Consortium’s Sensor Web Enablement (SWE) initiative. While clients compliant to these standards have access to the generated sensor data, it remains partially hidden from other knowledge infrastructures building on higher-level W3C standards. To overcome this problem, it has been proposed to make sensor data accessible using Linked Data principles and RESTful services. This position paper discusses the embedding of such data into the Linked Data cloud with a focus on the outgoing links that hook them up with other data sources. We outline how such links can be generated in a semi-automatic way, and argue why curation of the links is required. Finally, we point to the query potential of such an additional interface to observation data, and outline the requirements for SPARQL endpoints.

Details about the publication

Editors: Taylor Kerry, Ayyagari Arun, De Roure David
Book title: Proceedings of the 3rd International workshop on Semantic Sensor Networks 2010 (SSN10)
Title of series: CEUR-WS (ISSN: 1613-0073)
Volume of series: 668
Status: Published
Release year: 2010
Language in which the publication is written: English
Conference: 3rd International workshop on Semantic Sensor Networks 2010 (SSN10) in conjunction with the 9th International Semantic Web Conference (ISWC 2010), Shanghai, China

Authors from the University of Münster

Keßler, Carsten
Institute for Geoinformatics (ifgi)

Projects the publication originates from

Similarity in Context: Improving Semantic Similarity Rankings with Contextual Information (SimCat II)
Duration: 01/01/2006 - 31/12/2013
Funded by: DFG - Individual Grants Programme
Type of project: Individual project