DocumentCode :
3419867
Title :
Method of tacit knowledge discovery based on domain knowledge under driven of problems
Author :
Yuan-yuan, Dang ; Wang Yong-cheng ; Gang, Liu
Author_Institution :
Key Lab. of Symbolic Comput. & Knowledge Eng. of Minist. of Educ., Changchun Univ. of Technol., Changchun, China
fYear :
2012
fDate :
24-26 Aug. 2012
Firstpage :
1327
Lastpage :
1330
Abstract :
Now most of the knowledge discoveries are using the data mining technology and driven by data. This kind of knowledge discovery can´t finish the discovery, exploration and applying of the tacit knowledge. According to the problem above, this paper proposes a domain knowledge-based of problem driven tacit knowledge discovery method. This paper designs a S-K-T algorithm and the related problem-knowledge mining algorithm to get the domain knowledge semantic tree and the problem-domain knowledge tree, and based on this through the spiral iteration to finish the discovery of the tacit knowledge under the driven of problems.
Keywords :
data mining; trees (mathematics); S-K-T algorithm; data mining technology; domain knowledge semantic tree; knowledge mining algorithm; problem-domain knowledge tree; spiral iteration; tacit knowledge discovery; Handheld computers; domain knowledge; knowledge discovery; problem driven; tacit knowledge;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Information Processing (CSIP), 2012 International Conference on
Conference_Location :
Xi´an, Shaanxi
Print_ISBN :
978-1-4673-1410-7
Type :
conf
DOI :
10.1109/CSIP.2012.6309107
Filename :
6309107
Link To Document :
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