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Enabling RDF Stream Processing for Sensor Data Management in the Environmental Domain

Author

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  • Alejandro Llaves

    (Ontology Engineering Group, Universidad Politécnica de Madrid, Madrid, Spain)

  • Oscar Corcho

    (Ontology Engineering Group, Universidad Politécnica de Madrid, Madrid, Spain)

  • Peter Taylor

    (Data61, Commonwealth Scientific and Industrial Research Organisation, Hobart, Australia)

  • Kerry Taylor

    (Australian National University, Acton, Australia)

Abstract

This paper presents a generic approach to integrate environmental sensor data efficiently, allowing the detection of relevant situations and events in near real-time through continuous querying. Data variety is addressed with the use of the Semantic Sensor Network ontology for observation data modelling, and semantic annotations for environmental phenomena. Data velocity is handled by distributing sensor data messaging and serving observations as RDF graphs on query demand. The stream processing engine presented in the paper, morph-streams++, provides adapters for different data formats and distributed processing of streams in a cluster. An evaluation of different configurations for parallelization and semantic annotation parameters proves that the described approach reduces the average latency of message processing in some cases.

Suggested Citation

  • Alejandro Llaves & Oscar Corcho & Peter Taylor & Kerry Taylor, 2016. "Enabling RDF Stream Processing for Sensor Data Management in the Environmental Domain," International Journal on Semantic Web and Information Systems (IJSWIS), IGI Global, vol. 12(4), pages 1-21, October.
    • Handle: RePEc:igg:jswis0:v:12:y:2016:i:4:p:1-21
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