Sensor ontologies: from shallow to deep models. Russomanno, D J, Kothari, C, & Thomas, O In Proceedings of the Thirty-Seventh Southeastern Symposium on System Theory, 2005. SSST '05., pages 107–112, 2005. IEEE.
Sensor ontologies: from shallow to deep models [link]Paper  doi  abstract   bibtex   
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.
@inproceedings{Russomannoa,
abstract = {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.},
author = {Russomanno, D J and Kothari, C and Thomas, O},
booktitle = {Proceedings of the Thirty-Seventh Southeastern Symposium on System Theory, 2005. SSST '05.},
doi = {10.1109/SSST.2005.1460887},
isbn = {0-7803-8808-9},
keywords = {ontology,sensor,upper\_ontology},
mendeley-tags = {ontology,sensor,upper\_ontology},
pages = {107--112},
publisher = {IEEE},
title = {{Sensor ontologies: from shallow to deep models}},
url = {http://ieeexplore.ieee.org/xpl/freeabs\_all.jsp?arnumber=1460887},
year = {2005}
}

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