Semantic Information and Sensor Networks

Krishnaprasad Thirunarayan; Josh Pschorr

doi:10.1145/1529282.1529568

Semantic Information and Sensor Networks

Krishnaprasad Thirunarayan, Josh Pschorr

Wright State University

Research output: Contribution to conference › Presentation

Abstract

Embedded Networked Sensing involves untethered, networked devices tightly coupled to the physical world, to monitor and interact with it. Raw sensor observation can be annotated with semantic metadata to provide interpretation and context for it. In this paper, we discuss what, why and how of semantic sensor data and semantic sensor networks. Specifically, we explore (i) benefits of augmenting sensor data with semantics, (ii) domain-specific and spatio-temporal problems to be addressed, (iii) role of knowledge representation and reasoning (Semantic Web technology), and (iv) standardization efforts underway to make sensor-related data and sensor observations widely available.

Original language	American English
DOIs	https://doi.org/10.1145/1529282.1529568
State	Published - Mar 1 2009
Event	Proceedings of the 24th Annual ACM Symposium on Applied Computing - Duration: Mar 1 2009 → …

Conference

Conference	Proceedings of the 24th Annual ACM Symposium on Applied Computing
Period	3/1/09 → …

Keywords

Semantic Sensor Web

Disciplines

Bioinformatics
Communication
Communication Technology and New Media
Computer Sciences
Databases and Information Systems
Life Sciences
OS and Networks
Physical Sciences and Mathematics
Science and Technology Studies
Social and Behavioral Sciences

Access to Document

10.1145/1529282.1529568License: Unspecified

http://dl.acm.org/citation.cfm?id=1529568

Cite this

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abstract = " Embedded Networked Sensing involves untethered, networked devices tightly coupled to the physical world, to monitor and interact with it. Raw sensor observation can be annotated with semantic metadata to provide interpretation and context for it. In this paper, we discuss what, why and how of semantic sensor data and semantic sensor networks. Specifically, we explore (i) benefits of augmenting sensor data with semantics, (ii) domain-specific and spatio-temporal problems to be addressed, (iii) role of knowledge representation and reasoning (Semantic Web technology), and (iv) standardization efforts underway to make sensor-related data and sensor observations widely available.",

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AU - Thirunarayan, Krishnaprasad

AU - Pschorr, Josh

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AB - Embedded Networked Sensing involves untethered, networked devices tightly coupled to the physical world, to monitor and interact with it. Raw sensor observation can be annotated with semantic metadata to provide interpretation and context for it. In this paper, we discuss what, why and how of semantic sensor data and semantic sensor networks. Specifically, we explore (i) benefits of augmenting sensor data with semantics, (ii) domain-specific and spatio-temporal problems to be addressed, (iii) role of knowledge representation and reasoning (Semantic Web technology), and (iv) standardization efforts underway to make sensor-related data and sensor observations widely available.

KW - Semantic Sensor Web

UR - https://corescholar.libraries.wright.edu/knoesis/870

UR - http://dl.acm.org/citation.cfm?id=1529568

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M3 - Presentation

T2 - Proceedings of the 24th Annual ACM Symposium on Applied Computing

Y2 - 1 March 2009

ER -

Semantic Information and Sensor Networks

Abstract

Conference

Keywords

Disciplines

Access to Document

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Cite this