Automated knowledge acquisition for second generation knowledge base systems: A conceptual analysis and taxonomy

Conference · Tue Jan 01 00:00:00 EST 1991

OSTI ID:6455708

Williams, K E; Kotnour, T

In this paper, we present a conceptual analysis of knowledge-base development methodologies. The purpose of this research is to help overcome the high cost and lack of efficiency in developing knowledge base representations for artificial intelligence applications. To accomplish this purpose, we analyzed the available methodologies and developed a knowledge-base development methodology taxonomy. We review manual, machine-aided, and machine-learning methodologies. A set of developed characteristics allows description and comparison among the methodologies. We present the results of this conceptual analysis of methodologies and recommendations for development of more efficient and effective tools.

• Research Organization: Virginia Polytechnic Inst., Blacksburg, VA (United States)
• Sponsoring Organization: USDOE; USDOD; USDOE, Washington, DC (United States); Department of Defense, Washington, DC (United States)
• DOE Contract Number: FG02-91NP00119
• OSTI ID: 6455708
• Report Number(s): CONF-9110444-2; ON: DE93010317; CNN: N00014-91-J-1500
• Resource Relation: Conference: 27. annual meeting of the Institute of Management Sciences, Myrtle Beach, SC (United States), 3-4 Oct 1991
• Country of Publication: United States
• Language: English

Related Subjects

99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
EXPERT SYSTEMS
DATA ACQUISITION
KNOWLEDGE BASE
ARTIFICIAL INTELLIGENCE
INFORMATION
ORGANIZATIONAL MODELS
ORGANIZING
PLANNING
RECORDS MANAGEMENT
MANAGEMENT
990100* - Management
990300 - Information Handling