Sensor ontologies: from shallow to deep models

by: DJ Russomanno, C Kothari, O Thomas

ssst, Vol. 0 (2005), pp. 107-112.

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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.

@article{citeulike:3017287, 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.}, address = {Los Alamitos, CA, USA}, author = {Russomanno, D. J. and Kothari, C. and Thomas, O. }, citeulike-article-id = {3017287}, doi = {http://dx.doi.org/10.1109/SSST.2005.1460887}, journal = {ssst}, keywords = {geographicalmetadata, gesensor, ontology}, pages = {107--112}, posted-at = {2008-07-18 10:57:37}, priority = {2}, publisher = {IEEE Computer Society}, title = {Sensor ontologies: from shallow to deep models}, url = {http://dx.doi.org/10.1109/SSST.2005.1460887}, volume = {0}, year = {2005} }

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TY - JOUR ID - citeulike:3017287 L3 - citeulike-article-id:3017287 N2 - 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. JF - ssst AD - Los Alamitos, CA, USA EP - 112 TI - Sensor ontologies: from shallow to deep models PB - IEEE Computer Society VL - 0 SP - 107 KW - geographicalmetadata KW - gesensor KW - ontology AU - Russomanno, DJ AU - Kothari, C AU - Thomas, O PY - 2005/// UR - http://dx.doi.org/10.1109/SSST.2005.1460887 ER -

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