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A Real-Time Semantic Annotation to the Sensor Stream Data for the Water Quality Monitoring

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Abstract

Currently, billions of interconnected IoT devices continuously generate a huge amount of various sensed data in the stream called sensor stream data. Their management and processing have become increasingly difficult and important. However, raw sensor stream data are useless unless properly annotated. Therefore, by adding semantic annotations with concept definitions from ontologies, it is possible the interpretation and understanding of sensor stream data. In this paper is presented a sensor stream data management model for real-time IoT monitoring systems, which supports real-time integration and interpretation of semantic annotations into the heterogeneous sensor stream data in the format of Sensor Observation Service (SOS) with context in the IoT. To validate the proposed model, an IoT system for real-time water quality monitoring is developed which applies international regulatory of water quality such as Water Framework Directive (WFD) and United Nations Economic Commission for Europe (UNECE).

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Notes

  1. http://spark.apache.org

  2. https://kafka.apache.org

  3. http://cassandra.apache.org

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Authors and Affiliations

  1. Contemporary Sciences and Technologies, South East European University, Tetovo, Macedonia

    Besmir Sejdiu & Florije Ismaili

  2. Faculty of Electrical and Computer Engineering, University of Prishtina, Prishtinë, Kosova

    Lule Ahmedi

Authors
  1. Besmir Sejdiu
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  2. Florije Ismaili
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  3. Lule Ahmedi
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Correspondence to Besmir Sejdiu.

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“This article is part of the topical collection “Web Information Systems and Technologies 2021” guest edited by Joaquim Filipe, Francisco Domínguez Mayo and Massimo Marchiori”.

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Sejdiu, B., Ismaili, F. & Ahmedi, L. A Real-Time Semantic Annotation to the Sensor Stream Data for the Water Quality Monitoring. SN COMPUT. SCI. 3, 254 (2022). https://doi.org/10.1007/s42979-022-01145-6

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