Semantic Information and Sensor Networks

Authors

Krishnaprasad Thirunarayan, Wright State University - Main CampusFollow
Josh Pschorr, Wright State University - Main Campus

Document Type

Conference Proceeding

Publication Date

3-2009

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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.

Comments

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

Repository Citation

Thirunarayan, K., & Pschorr, J. (2009). Semantic Information and Sensor Networks. Proceedings of the 24th Annual ACM Symposium on Applied Computing, 1273-1274.
https://corescholar.libraries.wright.edu/knoesis/870

DOI

10.1145/1529282.1529568