Optimizing knowledge management using knowledge map
Date
2012
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Conference paper
Publisher
Elsevier Ltd
Journal Title
Optimizing knowledge management using knowledge map
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Abstract
A knowledge map is a technique that increasing efficiency of an explaining associations of knowledge bodies with the purpose of managing knowledge in an organization by creating similar content associations. The most commonlyused algorithm is the prediction using association rules. However, this technique sometimes produced unsatisfactory results because the retrieved information hardly met the demand and could not explain associations of information contents to users deriving in less accessibility to knowledge. This research presents methods of explaining knowledge associations using a knowledge map, and estimating an appropriate association value for each piece of information. The value was then computed to find an assembly point of multiple-relation knowledge. A comparison, in which 1,000 academic articles represented knowledge stored in an organization, revealed that the method of explaining associations hidden in the contents using the knowledge map yielded similar and more detailed prediction values compared to the method of defining categories from knowledge topics. This enabled users to see associations of knowledge in an organization and gave them access to knowledge stored within a knowledge base, consequently stimulating a knowledge spiral and integrated knowledge in a simple and effective manner. © 2010 Published by Elsevier Ltd.
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Procedia Engineering