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Generating Linked Data in Real-time from Sensor Data Streams

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Materializing the Web of Linked Data

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Abstract

In this Chapter, we focus on dealing with data originating from sensor data streams, in order to materialize an intelligent, semantically-enabled data layer. First, we introduce the concepts that are covered in this Section: real-time, context-awareness, windowing, information fusion. Next, we mention the difficulties associated with the attempt of creating a semantic sensor network, we note our architectural concerns by presenting a number of issues that have to be dealt with when designing a system for the real-time information integration from distributed data sources and sensors. Finally, the anatomy of a system for the end-to-end data multi-sensor data fusion and semantic enrichment is illustrated, while the end-to-end information flow and respective steps are analyzed.

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Notes

  1. 1.

    Semantic Sensor Network Incubator Group: www.w3.org/2005/Incubator/ssn/

  2. 2.

    Time Ontology in OWL: www.w3.org/TR/owl-time/

  3. 3.

    Basic Geo (WGS84 lat/long) Vocabulary: www.w3.org/2003/01/geo/

  4. 4.

    RuleML: wiki.ruleml.org

  5. 5.

    Virtuoso Jena Provider: www.openlinksw.com/OdbcRails/main/Main/VirtJenaProvider

  6. 6.

    Global Sensor Networks (GSN) middleware: github.com/LSIR/gsn/wiki

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Authors and Affiliations

  1. National Technical University of Athens, Athens, Greece

    Nikolaos Konstantinou & Dimitrios-Emmanuel Spanos

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  1. Nikolaos Konstantinou
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  2. Dimitrios-Emmanuel Spanos
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Konstantinou, N., Spanos, DE. (2015). Generating Linked Data in Real-time from Sensor Data Streams. In: Materializing the Web of Linked Data. Springer, Cham. https://doi.org/10.1007/978-3-319-16074-0_5

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  • DOI: https://doi.org/10.1007/978-3-319-16074-0_5

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-16073-3

  • Online ISBN: 978-3-319-16074-0

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