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Uncertainty handling in semantic reasoning for accurate context understanding

Authors:

Mounir Mokhtari,

Thibaut Tiberghien,

Romain Endelin,

Jit BiswasAuthors Info & Claims

Knowledge-Based Systems, Volume 77, Issue C

Pages 16 - 28

https://doi.org/10.1016/j.knosys.2014.12.025

Published: 01 March 2015 Publication History

Abstract

Context aware systems are using various sensing technologies in order to recognize end-users situations; however these technologies are vulnerable to hardware failures, energy depletion, communication problems and multiple other issues. This generates an uncertainty about the events received from the sensors, which is translated into a confidence given to these events. This confidence is used in the context-aware reasoning through a fusion of sensor data to make more accurate decisions. In this paper, we focus on handling uncertainty in sensor-based context aware applications and we propose a method for the measurement of uncertainty based on both physical and operational behaviors of the sensors. We describe how the level of uncertainty is incorporated into different layers of a semantically driven context aware system and how it is transferred to a decision engine in order to perform more accurate decisions in ambiguous observations.

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Cited By

Rocher GTigli JLavirotte SFerry N(2024)A Framework Towards Assessing the Resilience of Urban Transport SystemsProceedings of the 19th International Conference on Availability, Reliability and Security10.1145/3664476.3670435(1-10)Online publication date: 30-Jul-2024
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Yang CYue YZhang JWen MWang D(2019)Probabilistic Reasoning for Unique Role Recognition Based on the Fusion of Semantic-Interaction and Spatio-Temporal FeaturesIEEE Transactions on Multimedia10.1109/TMM.2018.287551321:5(1195-1208)Online publication date: 1-May-2019
https://dl.acm.org/doi/10.1109/TMM.2018.2875513
Chantas GKaravarsamis SNikolopoulos SKompatsiaris I(2018)A Probabilistic, Ontological Framework for Safeguarding the Intangible Cultural HeritageJournal on Computing and Cultural Heritage 10.1145/313161011:3(1-29)Online publication date: 9-Aug-2018
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Uncertainty handling in semantic reasoning for accurate context understanding
1. Computing methodologies
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Published In

cover image Knowledge-Based Systems

Knowledge-Based Systems Volume 77, Issue C

March 2015

129 pages

ISSN:0950-7051

Issue’s Table of Contents

Copyright © Elsevier B.V.

Publisher

Elsevier Science Publishers B. V.

Netherlands

Publication History

Published: 01 March 2015

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Cited By

Rocher GTigli JLavirotte SFerry N(2024)A Framework Towards Assessing the Resilience of Urban Transport SystemsProceedings of the 19th International Conference on Availability, Reliability and Security10.1145/3664476.3670435(1-10)Online publication date: 30-Jul-2024
https://dl.acm.org/doi/10.1145/3664476.3670435
Yang CYue YZhang JWen MWang D(2019)Probabilistic Reasoning for Unique Role Recognition Based on the Fusion of Semantic-Interaction and Spatio-Temporal FeaturesIEEE Transactions on Multimedia10.1109/TMM.2018.287551321:5(1195-1208)Online publication date: 1-May-2019
https://dl.acm.org/doi/10.1109/TMM.2018.2875513
Chantas GKaravarsamis SNikolopoulos SKompatsiaris I(2018)A Probabilistic, Ontological Framework for Safeguarding the Intangible Cultural HeritageJournal on Computing and Cultural Heritage 10.1145/313161011:3(1-29)Online publication date: 9-Aug-2018
https://dl.acm.org/doi/10.1145/3131610
Roy PAbidi SAbidi S(2017)Possibilistic activity recognition with uncertain observations to support medication adherence in an assisted ambient living settingKnowledge-Based Systems10.1016/j.knosys.2017.07.008133:C(156-173)Online publication date: 1-Oct-2017
https://dl.acm.org/doi/10.1016/j.knosys.2017.07.008
Sfar HBouzeghoub ARamoly NBoudy J(2017)AGACY Monitoring: A Hybrid Model for Activity Recognition and Uncertainty HandlingThe Semantic Web10.1007/978-3-319-58068-5_16(254-269)Online publication date: 28-May-2017
https://dl.acm.org/doi/10.1007/978-3-319-58068-5_16
Bellmunt JMokhtari MAbdulzarak BAloulou HAnderst-Kotsis G(2016)Agile framework for rapid deployment in ambient assisted living environmentsProceedings of the 18th International Conference on Information Integration and Web-based Applications and Services10.1145/3011141.3011196(410-413)Online publication date: 28-Nov-2016
https://dl.acm.org/doi/10.1145/3011141.3011196
Noor MSalcic ZWang K(2016)Enhancing ontological reasoning with uncertainty handling for activity recognitionKnowledge-Based Systems10.1016/j.knosys.2016.09.028114:C(47-60)Online publication date: 15-Dec-2016
https://dl.acm.org/doi/10.1016/j.knosys.2016.09.028
Aloulou HAbdulrazak BEndelin RBentes JTiberghien TBellmunt J(2016)Simplifying Installation and Maintenance of Ambient Intelligent Solutions Toward Large Scale DeploymentProceedings of the 14th International Conference on Inclusive Smart Cities and Digital Health - Volume 967710.1007/978-3-319-39601-9_11(121-132)Online publication date: 25-May-2016
https://dl.acm.org/doi/10.1007/978-3-319-39601-9_11

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