A Hybrid Solution for Advice in the Knowledge Management Field

Authors:
Álvaro Herrero;Aitor Mata;Emilio Corchado;Lourdes Sáiz
Affiliations:
Department of Civil Engineering, University of Burgos, Burgos, Spain 09006;Department of Computing Science and Automatic, University of Salamanca, Salamanca, Spain 37008;Department of Civil Engineering, University of Burgos, Burgos, Spain 09006;Department of Civil Engineering, University of Burgos, Burgos, Spain 09006
Venue:
HAIS '09 Proceedings of the 4th International Conference on Hybrid Artificial Intelligence Systems
Year:
2009

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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.