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Knowledge Management (KM) system is one kind of technology that synthetically explores various methods to realize the capture, storage and reuse of knowledge. One of objectives of KM is to promote the share and reuse of all kind of knowledge. Based on Ontology, this paper proposes a framework of KM to facilitate knowledge reuse. According to the definition of ontology, this paper presents the method...
This paper describes the outlier data mining and commonly used outlier mining methods, on this basis, it proposes an outlier mining algorithm based on attribute entropy (OMABAE). Firstly, the concept of attribute entropy is introduced to calculate attribute entropy of each attribute, and constructs the attribute entropy matrix. Secondly, the object entropy of each object is computed according to the...
Knowledge Management (KM) plays the key role in upgrading the competitiveness of an organization, one of objectives of KM is to promote the share and reuse of all kind of knowledge. To this end, task circumstance (TC) of knowledge is crucial. Base on task circumstance, this paper proposes a framework of KM to facilitate knowledge reuse. According to the definition of domain ontology, this paper introduces...
Knowledge Management (KM) is being given more emphasis in enterprise to win the challenge, but today the KM in use has two limits: static use and closed maintenance. This paper put forward a Ontology-based and Dynamic Participate KM Framework-OKMDP. We set up the framework with the molding of information content. From three points (creating sharing understanding, open knowledge integrating, linking...
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