DocumentCode
397772
Title
Rapid development of large knowledge bases
Author
Barbulescu, Marcel ; Balan, Gabriel ; Boicu, Mihai ; Tecuci, Gheorghe
Author_Institution
Learning Agents Lab., George Mason Univ., Fairfax, VA, USA
Volume
3
fYear
2003
fDate
5-8 Oct. 2003
Firstpage
2169
Abstract
This paper presents the Disciple-RKF methodology for rapid development of large knowledge bases which relies on importing ontological knowledge from existing knowledge repositories, on parallel development of separate knowledge bases by subject matter experts, and on the merging of these knowledge bases into a high performance integrated knowledge base. The paper discusses several issues related to ontology import and merging, and presents the results of a successful knowledge base development and integration experiment performed at the US Army War College.
Keywords
knowledge acquisition; knowledge based systems; Disciple-RKF methodology; knowledge base development; knowledge base merging; knowledge repositories; ontological knowledge; ontology import; Buildings; Educational institutions; Gravity; Intelligent agent; Knowledge acquisition; Knowledge engineering; Laboratories; Merging; Ontologies; Problem-solving;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics, 2003. IEEE International Conference on
ISSN
1062-922X
Print_ISBN
0-7803-7952-7
Type
conf
DOI
10.1109/ICSMC.2003.1244205
Filename
1244205
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