Pre-incident Analysis using Multigraphs and Faceted Ontologies
Abstract
Situational awareness requires acquisition of meaningful and reliable information. In any number of operating environments, large streams of raw information must be analyzed and processed by agencies that range from law enforcement to emergency services during a crisis. This research focuses on information related to strategic intelligence collection and analysis. Reports obtained by such processes reveal only pieces of the situational picture it is the combination of many reports (from different analysts and sources) that potentially reveal the underlying picture. Decision makers will benefit greatly from methods that organize information into new semantic perspectives different from that in which it was collected. This research investigates the organization of context specific information into semantic graphs and the merging of the semantic graphs into a multigraph to create a faceted ontology. This organizes the viewpoint-specific semantic graph structures into a more readily interpretable, robust, perspective neutral representation. The simpler semantic structures are collected from various sources focusing on, for example, socio-cultural networks, geo-spatial distributions, or threat scenario trees.
Document Details
- Document Type
- Technical Report
- Publication Date
- Aug 01, 2013
- Accession Number
- ADA588086
Entities
People
- Daniel H. Weinberg
- F. Gilfeather
- G. Luger
- Joseph A. Turner
- M. D. Turner
- M. J. Healy
- Scott Smith
- T. P. Caudell
Organizations
- University of New Mexico