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

Abstract

In the context of hazard monitoring, using sensor web technology to monitor and detect hazardous conditions in near-real-time can result in large amounts of spatial data that can be used to drive analysis at an instrumented site. These data can be used for decision making and problem solving, however as with any analysis problem the success of analyzing hazard potential is governed by many factors such as: the quality of the sensor data used as input; the meaning that can be derived from those data; the reliability of the model used to describe the problem; the strength of the analysis methods; and the ability to effectively communicate the end results of the analysis. For decision makers to make use of sensor web data these issues must be dealt with to some degree. The work described in this paper addresses all of these areas by showing how raw sensor data can be automatically transformed 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 and inference techniques to reason with, and draw conclusions about, spatial data. These tools are integrated with a well known Geographic Information System (GIS) and existing geospatial and sensor web infrastructure standards, providing expert users with the tools needed to thoroughly explore a problem site and investigate hazards in any domain.

Geo‐ontology Tools: The Missing Link

“…As Noy and Guinness (2001) point out, programmers make design decisions based on the operational properties of a class, whereas an ontology designer makes these decisions based on the structural properties of a class. In consequence, we are still short of ontologies of geographic processes, and ontologies are much easier translated into a database schema than into process models – although the most recent crop of articles (Klien and Probst 2005, Lemmens et al 2007, Peachavanish and Karimi 2007, McCarthy et al 2008) attempts to address the problem.…”

A Core Ontological Model for Semantic Sensor Web Infrastructures

“…Compared to the results obtained in Vrandecic (2010) for the ontologies in the Watson EA corpus (a subset of the Watson corpus that is part of the Billion Triple Challenge data) (Maynard & Harth, 2012), it can be observed that the values of R^ are consistent with those of the ontologies in the corpus (lower than 0.5), whereas the values of R VNS and N NS are not consistent since they are expected to be lower than 5 and greater than 10, respectively.…”

RFID and communication technologies for an intelligent bus monitoring and management system

“…Filtered, clean information is sent to the application, which is the GIS, installed in the host computer at the monitoring center. The GIS is readily accessible to the authorities, making this system user-friendly [21,37,38]. The sharing of data starts when the RFID devices interact with each other.…”