Abstract
In the natural brain, memory retaining, reconfiguration and retrieval are very important functions for maintaining the fresh memory. Especially reconfiguration takes an important role for arranging more relevant information to the personal aspect and purpose closely. The closely rearranged information is easy to be activated for processing. In this perspective, the strategy for reconfiguration of Personal Knowledge Network was proposed. Personal Knowledge network is reconstructed by Type matching selection and knowledge reconfiguration algorithm. The proposed system was applied to the Virtual Memory and tested with the sample data.
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Shim, J. (2008). Personal Knowledge Network Reconfiguration Based on Brain Like Function Using Self Type Matching Strategy. In: Fyfe, C., Kim, D., Lee, SY., Yin, H. (eds) Intelligent Data Engineering and Automated Learning – IDEAL 2008. IDEAL 2008. Lecture Notes in Computer Science, vol 5326. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88906-9_40
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DOI: https://doi.org/10.1007/978-3-540-88906-9_40
Publisher Name: Springer, Berlin, Heidelberg
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