DocumentCode :
2070467
Title :
Automatic knowledge acquisition from subject matter experts
Author :
Boicu, Mihai ; Tecuci, Gheorghe ; Stanescu, Bogdan ; Marcu, Dorin ; Cascaval, Cristina
Author_Institution :
Dept. of Comput. Sci., George Mason Univ., Fairfax, VA, USA
fYear :
2001
fDate :
7-9 Nov 2001
Firstpage :
69
Lastpage :
78
Abstract :
This paper presents current results in developing a practical approach, methodology and tool, for the development of knowledge bases and agents by subject matter experts, with limited assistance from knowledge engineers. This approach is based on mixed-initiative reasoning that integrates the complementary knowledge and reasoning styles of a subject matter expert and a learning agent, and on a division of responsibilities for those elements of knowledge engineering for which they have the most aptitude. The approach was evaluated at the US Army War College, demonstrating very good results and a high potential for overcoming the knowledge acquisition bottleneck
Keywords :
knowledge acquisition; software agents; US Army War College; automatic knowledge acquisition; knowledge bases; knowledge engineers; knowledge styles; learning agent; mixed-initiative reasoning; reasoning styles; rule learning tool; rule refinement tool; scenario elicitation; subject matter expert; subject matter experts; Automotive engineering; Computer science; Engines; Expert systems; Knowledge acquisition; Knowledge based systems; Knowledge engineering; Laboratories; Ontologies; Problem-solving;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Tools with Artificial Intelligence, Proceedings of the 13th International Conference on
Conference_Location :
Dallas, TX
Print_ISBN :
0-7695-1417-0
Type :
conf
DOI :
10.1109/ICTAI.2001.974450
Filename :
974450
Link To Document :
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