Article

Semantic streams: a framework for composable semantic interpretation of sensor data

Authors:

Kamin Whitehouse,

Feng Zhao,

Jie LiuAuthors Info & Claims

EWSN'06: Proceedings of the Third European conference on Wireless Sensor Networks

Pages 5 - 20

https://doi.org/10.1007/11669463_4

Published: 13 February 2006 Publication History

Abstract

We present a framework called Semantic Streams that allows users to pose declarative queries over semantic interpretations of sensor data. For example, instead of querying raw magnetometer data, the user queries whether vehicles are cars or trucks; the system decides which sensor data and which operations to use to infer the type of vehicle. The user can also place constraints on values such as the the amount of energy consumed or the confidence with which the vehicles are classified. We demonstrate how this system can be used on a network of video, magnetometer, and infrared break beam sensors deployed in a parking garage with three simultaneous and independent users.

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Casadei R(2023)Macroprogramming: Concepts, State of the Art, and Opportunities of Macroscopic Behaviour ModellingACM Computing Surveys10.1145/357935355:13s(1-37)Online publication date: 13-Jul-2023
https://dl.acm.org/doi/10.1145/3579353
Guennouni NSallaberry CLaborie SChbeir RChbeir RManolopoulos YDamiani EBenslimane DBellatreche LMorzy T(2020)A Novel Framework for Event Interpretation in a Heterogeneous Information SystemProceedings of the 12th International Conference on Management of Digital EcoSystems10.1145/3415958.3433073(140-148)Online publication date: 2-Nov-2020
https://dl.acm.org/doi/10.1145/3415958.3433073
Honti GAbonyi J(2019)A Review of Semantic Sensor Technologies in Internet of Things ArchitecturesComplexity10.1155/2019/64731602019Online publication date: 12-Jun-2019
https://dl.acm.org/doi/10.1155/2019/6473160
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Information

Published In

EWSN'06: Proceedings of the Third European conference on Wireless Sensor Networks

February 2006

341 pages

ISBN:3540321586

Editors:
Kay Römer
Institute for Pervasive Computing, ETH Zurich, Switzerland
,
Holger Karl
Institute for Pervasive Computing, University of Paderborn, Paderborn, Germany
,
Friedemann Mattern
Inst. for Pervasive Computing, ETH Zürich, Zurich, Switzerland

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 13 February 2006

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Overall Acceptance Rate 81 of 195 submissions, 42%

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Casadei R(2023)Macroprogramming: Concepts, State of the Art, and Opportunities of Macroscopic Behaviour ModellingACM Computing Surveys10.1145/357935355:13s(1-37)Online publication date: 13-Jul-2023
https://dl.acm.org/doi/10.1145/3579353
Guennouni NSallaberry CLaborie SChbeir RChbeir RManolopoulos YDamiani EBenslimane DBellatreche LMorzy T(2020)A Novel Framework for Event Interpretation in a Heterogeneous Information SystemProceedings of the 12th International Conference on Management of Digital EcoSystems10.1145/3415958.3433073(140-148)Online publication date: 2-Nov-2020
https://dl.acm.org/doi/10.1145/3415958.3433073
Honti GAbonyi J(2019)A Review of Semantic Sensor Technologies in Internet of Things ArchitecturesComplexity10.1155/2019/64731602019Online publication date: 12-Jun-2019
https://dl.acm.org/doi/10.1155/2019/6473160
Ardekani MSingh RAgrawal NTerry DSuminto RJayaram KGandhi AKemme BPietzuch P(2017)RivuletProceedings of the 18th ACM/IFIP/USENIX Middleware Conference10.1145/3135974.3135988(41-54)Online publication date: 11-Dec-2017
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Zhu XTao XGu TLu J(2017)ReLogJournal of Parallel and Distributed Computing10.1016/j.jpdc.2016.12.010102:C(132-148)Online publication date: 1-Apr-2017
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Liang CKarlsson BLane NZhao FZhang JPan ZLi ZYu YNath SKrishnamachari BRowe A(2015)SIFTProceedings of the 14th International Conference on Information Processing in Sensor Networks10.1145/2737095.2737115(298-309)Online publication date: 13-Apr-2015
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Ansari JMeshkova EMasood WMuslim ARiihijärvi JMähönen P(2014)CONFabComputer Networks: The International Journal of Computer and Telecommunications Networking10.1016/j.comnet.2014.08.01874:PA(89-108)Online publication date: 9-Dec-2014
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Brandão PBalasingham I(2012)Modelling correlations for body sensor network informationProceedings of the 7th International Conference on Body Area Networks10.5555/2442691.2442714(89-95)Online publication date: 24-Feb-2012
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Learning from ontology streams with semantic concept drift

Semantic preprocessing for mining sensor streams from heterogeneous environments

A Linked-Data Model for Semantic Sensor Streams

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