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Knowledge management for the analysis of complex experimentation

R. Maule (Professor at the Naval Postgraduate School, CSUMB, Monterey, California, USA)
G. Schacher (Professor at the Naval Postgraduate School, CSUMB, Monterey, California, USA)
S. Gallup (Associate Professor, at the Naval Postgraduate School, CSUMB, Monterey, California, USA)

Internet Research

ISSN: 1066-2243

Article publication date: 1 December 2002

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Abstract

Government agencies carry out many events each year designed to determine future requirements and capabilities. These events include field experiments, surveys, interviews, simulations and workshops. Similar themes are evident across many of these events. Unfortunately, mechanisms for passing information from one event to the next, or for developing bodies of knowledge in the topical areas they address, have yet to be fully developed. The task is difficult on two fronts. In response to this need a knowledge management capability was developed to help provide structure for dynamic and static data and thereby, aid in the analysis of complex experimentation. The system warehouses qualitative and quantitative data and supports mining operations through a number of traditional and artificial intelligence‐based techniques. Described are the information architecture of the system, the knowledge processing methodologies, and the structure of the thematic data sets that form the knowledge ontologies.

Keywords

Citation

Maule, R., Schacher, G. and Gallup, S. (2002), "Knowledge management for the analysis of complex experimentation", Internet Research, Vol. 12 No. 5, pp. 427-435. https://doi.org/10.1108/10662240210447173

Publisher

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MCB UP Ltd

Copyright © 2002, MCB UP Limited

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