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Presentation
Semantic Information and Sensor Networks
Proceedings of the 24th Annual ACM Symposium on Applied Computing
  • Krishnaprasad Thirunarayan, Wright State University - Main Campus
  • Josh Pschorr, Wright State University - Main Campus
Document Type
Conference Proceeding
Publication Date
3-1-2009
Catalog Record
Catalog Record
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.
Comments

Presented at the 24th Annual ACM Symposium on Applied Computing, Honolulu, HI, March 8-12, 2009.

DOI
10.1145/1529282.1529568
Citation Information
Krishnaprasad Thirunarayan and Josh Pschorr. "Semantic Information and Sensor Networks" Proceedings of the 24th Annual ACM Symposium on Applied Computing (2009) p. 1273 - 1274 ISSN: 9781605581668
Available at: http://works.bepress.com/tk_prasad/56/