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OntoBayes Approach to Corporate Knowledge

  • Yi Yang
  • Jacques Calmet
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4203)

Abstract

In this paper, we investigate the integration of virtual knowledge communities (VKC) into an ontology-driven uncertainty model (OntoBayes). The selected overall framework for OntoBayes is the multiagent paradigm. Agents modeled with OntoBayes have two parts: knowledge and decision making parts. The former is the ontology knowledge while the latter is based upon Bayesian Networks (BN). OntoBayes is thus designed in agreement with the Agent Oriented Abstraction (AOA) paradigm. Agents modeled with OntoBayes possess a common community layer that enables to define, describe and implement corporate knowledge. This layer consists of virtual knowledge communities.

Keywords

Bayesian Network Decision Support System Knowledge Management Resource Description Framework Dependency Graph 
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 2006

Authors and Affiliations

  • Yi Yang
    • 1
  • Jacques Calmet
    • 1
  1. 1.Institute for Algorithms and Cognitive Systems (IAKS)University of Karlsruhe (TH)KarlsruheGermany

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