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Personal Knowledge Network Reconfiguration Based on Brain Like Function Using Self Type Matching Strategy

  • JeongYon Shim
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5326)

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.

Keywords

Knowledge Network Personal Knowledge Connection Strength Virtual Memory Personal Aspect 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • JeongYon Shim
    • 1
  1. 1.Div. of GS, Computer ScienceKangnam UniversityYongIn SiKorea

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