Sensors 2008, 8(2), 830-846; doi:10.3390/s8020830
Article

An Integrated GIS-Expert System Framework for Live Hazard Monitoring and Detection

1 University of Windsor, Department of Earth and Environmental Sciences, 401 Sunset Ave., Windsor, Ontario, Canada, N9B 3P4 2 Environmental Research Systems Institute, 380 New York Street, Redlands, California, USA
* Author to whom correspondence should be addressed.
Received: 4 January 2008; Accepted: 1 February 2007 / Published: 8 February 2008
(This article belongs to the Special Issue Sensors for Disaster and Emergency Management Decision Making)
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Abstract: In the context of hazard monitoring, using sensor web technology to monitor anddetect hazardous conditions in near-real-time can result in large amounts of spatial data thatcan be used to drive analysis at an instrumented site. These data can be used for decisionmaking and problem solving, however as with any analysis problem the success ofanalyzing hazard potential is governed by many factors such as: the quality of the sensordata used as input; the meaning that can be derived from those data; the reliability of themodel used to describe the problem; the strength of the analysis methods; and the ability toeffectively communicate the end results of the analysis. For decision makers to make use ofsensor web data these issues must be dealt with to some degree. The work described in thispaper addresses all of these areas by showing how raw sensor data can be automaticallytransformed into a representation which matches a predefined model of the problem context.This model can be understood by analysis software that leverages rule-based logic andinference techniques to reason with, and draw conclusions about, spatial data. These toolsare integrated with a well known Geographic Information System (GIS) and existinggeospatial and sensor web infrastructure standards, providing expert users with the toolsneeded to thoroughly explore a problem site and investigate hazards in any domain.
Keywords: sensor ontologies; hazard monitoring; sensor web infrastructure; automated reasoning; spatial decision support systems

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MDPI and ACS Style

McCarthy, J.D.; Graniero, P.A.; Rozic, S.M. An Integrated GIS-Expert System Framework for Live Hazard Monitoring and Detection. Sensors 2008, 8, 830-846.

AMA Style

McCarthy JD, Graniero PA, Rozic SM. An Integrated GIS-Expert System Framework for Live Hazard Monitoring and Detection. Sensors. 2008; 8(2):830-846.

Chicago/Turabian Style

McCarthy, James D.; Graniero, Phil A.; Rozic, Steven M. 2008. "An Integrated GIS-Expert System Framework for Live Hazard Monitoring and Detection." Sensors 8, no. 2: 830-846.

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