Semantic Streams: A framework for composable semantic interpretation of sensor data

Kamin Whitehouse; Feng Zhao; Jie Liu

doi:10.1007/11669463_4

Semantic Streams: A framework for composable semantic interpretation of sensor data

Kamin Whitehouse^*
, Feng Zhao
, Jie Liu

^*Corresponding author for this work

University of California at Berkeley
Microsoft USA

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

97 Scopus citations

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.

Original language	English
Title of host publication	Wireless Sensor Networks - Third European Workshop, EWSN 2006, Proceedings
Pages	5-20
Number of pages	16
DOIs	https://doi.org/10.1007/11669463_4
State	Published - 2006
Externally published	Yes
Event	3rd European Workshop on Wireless Sensor Networks, EWSN 2006 - Zurich, Switzerland Duration: 13 Feb 2006 → 15 Feb 2006

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3868 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	3rd European Workshop on Wireless Sensor Networks, EWSN 2006
Country/Territory	Switzerland
City	Zurich
Period	13/02/06 → 15/02/06

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10.1007/11669463_4

Cite this

Whitehouse, K., Zhao, F., & Liu, J. (2006). Semantic Streams: A framework for composable semantic interpretation of sensor data. In Wireless Sensor Networks - Third European Workshop, EWSN 2006, Proceedings (pp. 5-20). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3868 LNCS). https://doi.org/10.1007/11669463_4

@inproceedings{954d77eff8e8476ab018dad153fd6a4c,

title = "Semantic Streams: A framework for composable semantic interpretation of sensor data",

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.",

author = "Kamin Whitehouse and Feng Zhao and Jie Liu",

year = "2006",

doi = "10.1007/11669463\_4",

language = "英语",

isbn = "3540321586",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "5--20",

booktitle = "Wireless Sensor Networks - Third European Workshop, EWSN 2006, Proceedings",

note = "3rd European Workshop on Wireless Sensor Networks, EWSN 2006 ; Conference date: 13-02-2006 Through 15-02-2006",

}

Whitehouse, K, Zhao, F & Liu, J 2006, Semantic Streams: A framework for composable semantic interpretation of sensor data. in Wireless Sensor Networks - Third European Workshop, EWSN 2006, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3868 LNCS, pp. 5-20, 3rd European Workshop on Wireless Sensor Networks, EWSN 2006, Zurich, Switzerland, 13/02/06. https://doi.org/10.1007/11669463_4

Semantic Streams: A framework for composable semantic interpretation of sensor data. / Whitehouse, Kamin; Zhao, Feng; Liu, Jie.
Wireless Sensor Networks - Third European Workshop, EWSN 2006, Proceedings. 2006. p. 5-20 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3868 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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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Semantic Streams: A framework for composable semantic interpretation of sensor data

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