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Pre Incident Indicator Analysis (PIIA) System


Please use this identifier to cite or link to this item: http://hdl.handle.net/1928/13956

Pre Incident Indicator Analysis (PIIA) System

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Title: Pre Incident Indicator Analysis (PIIA) System
Author: Gilfeather, Frank; Caudell, Thomas; Taha, Mahmoud; Weinberg, David
Subject: Risk Analysis
Evidence Theory
Information Aggregation
Tree Visualization
Situational Awareness
Abstract: Policy leaders have identified a need for a mathematical based computational system that would support requirements of situational awareness to analyze terrorist threats and risks given the vast amount of input data in the form of open source, intelligence as well as other indicators. In response to these expressed needs , the University of New Mexico (UNM) developed a proto-type system, the Pre Incident Indicator Analysis (PIIA) system, which is capable of combining open source and intelligence data with other indicators and information as inputs to provide a dynamic assessment of threats and risks along with a measure of the uncertainties inherent in that analysis. The object is to build a mathematical and then a prototype system to access large complex “faceted information ontologies” consisting of information and data available to analysts and in a fashion they can use. A framework has been established for such a system and demonstrated. In addition considerable progress has been made on the key challenge of creating faceted ontologies (combining specific views of data and information). This constitutes a data collection system that combines specific views or ontologies, allows for analyzing the integrated information and then ascertaining certain new views of the resultant information. This has the potential to evaluate specific threats for importance, provide temporal sensitivity and provide warnings for analysts to consider.
Date: 2011-09-19
Series: ECE;EECE-TR-1-0008
Description: Technical Report
URI: http://hdl.handle.net/1928/13956

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