loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Besmir Sejdiu 1 ; Florije Ismaili 1 and Lule Ahmedi 2

Affiliations: 1 Contemporary Sciences and Technologies, South East European University, Tetovo, Macedonia ; 2 Faculty of Electrical and Computer Engineering, University of Prishtina, Prishtinë, Kosova

Keyword(s): Sensor Stream Data, Semantic Annotations, Semantic Sensor Web (SSW), Internet of Things (IoT).

Abstract: Recently, billions Internet of Things (IoT) devices, including sensors are producing sensed data continuously in the stream data, and transmit these data to a centralized server. Due to the dramatically increase of streaming data, their management and exploitation has become increasingly important and difficult to process and integrate the semantic to sensor stream data in real-time. This research focuses on real-time integration of semantics into heterogeneous sensor stream data with context in the IoT. In this context, an IoT real-time air quality monitoring system and different semantic annotations are developed for sensor stream data in the format of Sensor Observation Service (SOS).

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.222.78.65

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Sejdiu, B.; Ismaili, F. and Ahmedi, L. (2020). A Real-time Integration of Semantics into Heterogeneous Sensor Stream Data with Context in the Internet of Things. In Proceedings of the 15th International Conference on Software Technologies - ICSOFT; ISBN 978-989-758-443-5; ISSN 2184-2833, SciTePress, pages 376-383. DOI: 10.5220/0009884403760383

@conference{icsoft20,
author={Besmir Sejdiu. and Florije Ismaili. and Lule Ahmedi.},
title={A Real-time Integration of Semantics into Heterogeneous Sensor Stream Data with Context in the Internet of Things},
booktitle={Proceedings of the 15th International Conference on Software Technologies - ICSOFT},
year={2020},
pages={376-383},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009884403760383},
isbn={978-989-758-443-5},
issn={2184-2833},
}

TY - CONF

JO - Proceedings of the 15th International Conference on Software Technologies - ICSOFT
TI - A Real-time Integration of Semantics into Heterogeneous Sensor Stream Data with Context in the Internet of Things
SN - 978-989-758-443-5
IS - 2184-2833
AU - Sejdiu, B.
AU - Ismaili, F.
AU - Ahmedi, L.
PY - 2020
SP - 376
EP - 383
DO - 10.5220/0009884403760383
PB - SciTePress