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Sensor ontologies: from shallow to deep models

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3 Author(s)
Russomanno, D.J. ; Dept. of Electr. & Comput. Eng., Memphis Univ., TN, USA ; Kothari, C. ; Thomas, O.

This paper presents a practical approach to developing comprehensive sensor ontologies based upon deep knowledge models rather than capturing only superficial sensor attributes. It is proposed that the representation and utilization of deep sensor ontologies would enable a variety of sensor information system applications including sensor parts compatibility determination, dynamic sensor selection and tasking, and reasoning about systems of sensors in which data must be fused and queried from a variety of sensor types within a myriad of environments.

Published in:

System Theory, 2005. SSST '05. Proceedings of the Thirty-Seventh Southeastern Symposium on

Date of Conference:

20-22 March 2005