Knowledge management for the analysis of complex experimentation
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Authors
Maule, R.
Schacher, G.
Gallup, S.
Subjects
Knowledge management
Artificial intelligence
Knowledge-based systems
Artificial intelligence
Knowledge-based systems
Advisors
Date of Issue
2002
Date
2002
Publisher
MCB UP Limited
Language
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.
Type
Article
Description
The article of record as published may be found at http://dx.doi.org/10.1108/10662240210447173
Series/Report No
Department
Organization
Naval Postgraduate School (U.S.)
Identifiers
NPS Report Number
Sponsors
Funder
Format
9 p.
Citation
Internet Research: Electronic Networking Applications and Policy
Volume 12 · Number 5 · 2002 · pp. 427-435
Distribution Statement
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.