QUT ePrints

The Visualisation of Diverse Intelligence

Kolb, Hans-Joachim, Towsey, Michael W., Maetschke, Stefan, & Uebler, Ulla (2003) The Visualisation of Diverse Intelligence. In NATO (Research and Technology Agency) conference on “Military Data and Information Fusion‿., 20-22 October 2003., Prague, Czech.

Abstract

At last year's NATO workshop "Massive Military Data Fusion" held in Norway 2002, it was agreed that there is an increasing need for visualization of data. This need has increased because the military now receives more data coming from more sensors and more sources. In the intelligence context, the fusion of information is a multi-layered process. First, raw data are collected and filtered and brought to archives. The analysis of the data is the most time-consuming process, since it can be automated only in a limited range. Thus, there is still a need for a human-in-the-loop. For humans, the best way to analyze large amounts of data is through their pattern recognition abilities, thus using powerful algorithms of visualization. In this paper, the authors present their approaches to visualization on different levels. First, they describe data modeling in the intelligence context, using the MEDAV archive as an example of a data model. Then they define various approaches to visualization, and later on show various approaches to visualization for different information retrieval tasks. Fourteen briefing charts summarize the presentation. (1 table, 10 figures)

Impact and interest:

Citation countsare sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

ID Code: 7602
Item Type: Conference Paper
Additional Information: See review at http://www.stormingmedia.us/20/2068/A206824.html For more information or for a copy of the conference paper see the URL's above or contact the author at m.towsey@qut.edu.au
Additional URLs:
Keywords: MILITARY INTELLIGENCE, DATA MANAGEMENT, DATA ACQUISITION, DATA FUSION, SIGNAL PROCESSING, COMMUNICATIONS NETWORKS, DATA REDUCTION, INFORMATION RETRIEVAL, PATTERN RECOGNITION, VIRTUAL REALITY
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Deposited On: 11 May 2007
Last Modified: 15 Jan 2009 17:32

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page