DocumentCode :
2258768
Title :
Study on Knowledge Acquisition Techniques
Author :
Hua, Jiang
Author_Institution :
Sch. of Econ. & Manage., Hebei Univ. of Eng., Handan
Volume :
1
fYear :
2008
fDate :
20-22 Dec. 2008
Firstpage :
181
Lastpage :
185
Abstract :
The knowledge acquisition is a bottleneck of the artificial intelligence. How to extract knowledge effectively from the text is what knowledge engineering is concerned. Knowledge acquisition (KA) techniques give constrains to study and application of knowledge system, therefore, effective extraction of domain knowledge from text becomes the major approach to knowledge acquisition. The paper introduced the main knowledge acquisition techniques, analyzed and compared the difference of these technologies, summed up the basic steps of applying KA techniques to acquiring knowledge and finally described the latest development of knowledge acquisition techniques.
Keywords :
data mining; text analysis; artificial intelligence; data mining; domain knowledge extraction; knowledge acquisition technique; knowledge engineering; text analysis; Artificial intelligence; Data mining; Information technology; Knowledge acquisition; Knowledge based systems; Knowledge engineering; Knowledge management; Paper technology; Protocols; Technology management; Knowledge acquisition (KA) techniques; knowledge acquisition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Information Technology Application, 2008. IITA '08. Second International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3497-8
Type :
conf
DOI :
10.1109/IITA.2008.152
Filename :
4739560
Link To Document :
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