Integration of Semantics Into Sensor Data for the IoT: A Systematic Literature Review

Besmir Sejdiu, Florije Ismaili and Lule Ahmedi
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Besmir Sejdiu: South East European University, Macedonia
Florije Ismaili: South East European University, Macedonia
Lule Ahmedi: University of Prishtina, Kosovo

International Journal on Semantic Web and Information Systems (IJSWIS), 2020, vol. 16, issue 4, 1-25

Abstract: The internet of things (IoT) as an evolving technology represents an active scientific research field in recognizing research challenges associated with its application in various domains, ranging from consumer convenience, smart energy, and resource saving to IoT enterprises. Sensors are crucial components of IoT that relay the collected data in the form of the data stream for further processing. Interoperability of various connected digital resources is a key challenge in IoT environments. The enrichment of raw sensor data with semantic annotations using concept definitions from ontologies enables more expressive data representation that supports knowledge discovery. In this paper, a systematic review of integration of semantics into sensor data for the IoT is provided. The conducted review is focused on analyzing the main solutions of adding semantic annotations to the sensor data, standards that enable all types of sensor data via the web, existing models of stream data annotation, and the IoT trend domains that use semantics.

Date: 2020
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