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A Hybrid Solution for Advice in the Knowledge Management Field

  • Álvaro Herrero
  • Aitor Mata
  • Emilio Corchado
  • Lourdes Sáiz
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5572)

Abstract

This paper presents a hybrid artificial intelligent solution that helps to automatically generate proposals, aimed at improving the internal states of organization units from a Knowledge Management (KM) point of view. This solution is based on the combination of the Case-Based Reasoning (CBR) and connectionist paradigms. The required outcome consists of customized solutions for different areas of expertise related to the organization units, once a lack of knowledge in any of those has been identified. On the other hand, the system is fed with KM data collected at the organization and unit contexts. This solution has been integrated in a KM system that additionally profiles the KM status of the whole organization.

Keywords

Case Base Knowledge Management Intrusion Detection System Hybrid Solution Analyze Organization 
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 2009

Authors and Affiliations

  • Álvaro Herrero
    • 1
  • Aitor Mata
    • 2
  • Emilio Corchado
    • 1
  • Lourdes Sáiz
    • 1
  1. 1.Department of Civil EngineeringUniversity of BurgosBurgosSpain
  2. 2.Department of Computing Science and AutomaticUniversity of SalamancaSalamancaSpain

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