research-article

Towards a Semantic Outlier Detection Framework in Wireless Sensor Networks

Authors:

Iker Esnaola-Gonzalez,

Jesús Bermúdez,

Izaskun Fernández,

Santiago Fernández,

Aitor ArnaizAuthors Info & Claims

Semantics2017: Proceedings of the 13th International Conference on Semantic Systems

Pages 152 - 159

https://doi.org/10.1145/3132218.3132226

Published: 11 September 2017 Publication History

Abstract

Outlier detection in the preprocessing phase of Knowledge Discovery in Databases (KDD) processes has been a widely researched topic for many years. However, identifying the potential outlier cause still remains an unsolved challenge even though it could be very helpful for determining what actions to take after detecting it. Furthermore, conventional outlier detection methods might still overlook outliers in certain complex contexts. In this article, Semantic Technologies are used to contribute overcoming these problems by proposing the SemOD (Semantic Outlier Detection) Framework. This framework guides the data-scientist towards the detection of certain types of outliers in WSNs (Wireless Sensor Network). Feasibility of the approach has been tested in outdoor temperature sensors and results show that the proposed approach is generic enough to apply it to different sensors, even improving the accuracy, specificity and sensitivity of outlier detection as well as spotting their potential cause.

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Cited By

Zafeirelli SKavroudakis D(2024)Comparison of outlier detection approaches in a Smart Cities sensor data contextInternational Journal on Smart Sensing and Intelligent Systems10.2478/ijssis-2024-000417:1Online publication date: 14-Feb-2024
https://doi.org/10.2478/ijssis-2024-0004
Safaei MAsadi SDriss MBoulila WAlsaeedi AChizari HAbdullah RSafaei M(2020)A Systematic Literature Review on Outlier Detection in Wireless Sensor NetworksSymmetry10.3390/sym1203032812:3(328)Online publication date: 25-Feb-2020
https://doi.org/10.3390/sym12030328
Esnaola-Gonzalez IBermúdez JFernandez IArnaiz ACena FHaller ALefrançois M(2020)Ontologies for observations and actuations in buildingsSemantic Web10.3233/SW-20037811:4(593-621)Online publication date: 1-Jan-2020
https://dl.acm.org/doi/10.3233/SW-200378
Show More Cited By

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Published In

cover image ACM Other conferences

Semantics2017: Proceedings of the 13th International Conference on Semantic Systems

September 2017

202 pages

ISBN:9781450352963

DOI:10.1145/3132218

Editors:
Rinke Hoekstra
Elsevier B.V., Amsterdam, The Netherlands
,
Catherine Faron-Zucker
University of Nice Sophia Antipolis, France
,
Tassilo Pellegrini
University of Applied Sciences St. Poelten, Austria
,
Victor de Boer
Vrije Universiteit Amsterdam, The Netherlands

Copyright © 2017 ACM.

© 2017 Association for Computing Machinery. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

In-Cooperation

St. Pölten University: St. Pölten University of Applied Sciences, Austria
Wolters Kluwer: Wolters Kluwer, Germany
Vrije Universeit Amsterdam: Vrije Universeit Amsterdam
Semantic Web Company: Semantic Web Company
Uinv. Leipzig: Universität Leipzig

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 11 September 2017

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Ministerio de Educación, Cultura y Deporte

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Semantics2017

Semantics2017: Semantics 2017 - 13th International Conference on Semantic Systems

September 11 - 14, 2017

Amsterdam, Netherlands

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Overall Acceptance Rate 40 of 182 submissions, 22%

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Cited By

Zafeirelli SKavroudakis D(2024)Comparison of outlier detection approaches in a Smart Cities sensor data contextInternational Journal on Smart Sensing and Intelligent Systems10.2478/ijssis-2024-000417:1Online publication date: 14-Feb-2024
https://doi.org/10.2478/ijssis-2024-0004
Safaei MAsadi SDriss MBoulila WAlsaeedi AChizari HAbdullah RSafaei M(2020)A Systematic Literature Review on Outlier Detection in Wireless Sensor NetworksSymmetry10.3390/sym1203032812:3(328)Online publication date: 25-Feb-2020
https://doi.org/10.3390/sym12030328
Esnaola-Gonzalez IBermúdez JFernandez IArnaiz ACena FHaller ALefrançois M(2020)Ontologies for observations and actuations in buildingsSemantic Web10.3233/SW-20037811:4(593-621)Online publication date: 1-Jan-2020
https://dl.acm.org/doi/10.3233/SW-200378
Esnaola-Gonzalez IBermúdez JFernandez IArnaiz ASicilia ÁPauwels PMadrazo LPoveda-Villalón MEuzenat J(2018)Semantic prediction assistant approach applied to energy efficiency in Tertiary buildingsSemantic Web10.3233/SW-1802969:6(735-762)Online publication date: 1-Jan-2018
https://dl.acm.org/doi/10.3233/SW-180296
Esnaola-Gonzalez IDiez F(2018)IoT Integration based on Semantic Technologies for Energy Efficiency in Buildings2018 Global Internet of Things Summit (GIoTS)10.1109/GIOTS.2018.8534531(1-6)Online publication date: Jun-2018
https://doi.org/10.1109/GIOTS.2018.8534531

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