2012Unpublished venueRequires access

Method of tacit knowledge discovery based on domain knowledge under driven of problems

Dang Yuan-yuan, Yongcheng Wang, Liu Gang

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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.

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What this paper is about

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.

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Available 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.

Key concepts: Tacit knowledge, Knowledge extraction, Domain knowledge, Computer science, Domain (mathematical analysis), Knowledge engineering, Tree (set theory), Knowledge-based systems

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