Enabling RDF Stream Processing for Sensor Data Management in the Environmental Domain
Alejandro Llaves,
Oscar Corcho,
Peter Taylor and
Kerry Taylor
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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
International Journal on Semantic Web and Information Systems (IJSWIS), 2016, vol. 12, issue 4, 1-21
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.
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jswis0:v:12:y:2016:i:4:p:1-21
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