Knowledge management for the analysis of complex experimentation

Abstract

Knowledge management, Artificial intelligence, Knowledge-based systems Government agencies carry out many events each year designed to determine future requirements and capabilities. These events indude 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.The research register for this journal is available at

Bridging intention and behavior of knowledge sharing

“…Very little is known about how knowledge is shared, in particular tacit knowledge. Consolidating data from various sources into a consistent knowledge base is one of the greatest challenges of KM (Maule et al, 2002). Better decision making, faster turnaround times, improved organizational communications, and higher level of cooperation and interactions among personnel are implemented and maintained KM systems (Schwartz et al, 2000).…”

Knowledge Engineering Experimentation Management System for Collaboration

“…NATO and U.S. Joint Forces Command have expressed interest in experimentation around common ontology and knowledge structures [11]. Additionally the Naval Postgraduate School (NPS) has a history of testing experimental systems that use ontology and metadata to categorize knowledge specific to new technologies in the DoD [12], [13], [14], [15], [16].…”