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An Organic Architecture for Distributed Knowledge Management

  • G. R. Ribeiro Justo
  • T. Karran
  • M. J. Zemerly

Abstract

The new breed of enterprise information systems is very complex in scope. They comprise multiple-component interactions on a variety of data models. New components have to be added to existing operational systems, in order for the enterprise to stay competitive by exploiting new sources for data capture. If new sources of data involve new Internet transaction components, for example, these should be integrated to the existing logistics and market components. This integration cannot be managed in an ad hoc way but requires a holistic architecture. This paper proposes a complex organic distributed architecture (CODA) to manage the integration of additional components to large distributed knowledge management systems. CODA achieves this through a layered architecture, dynamic adaptability, filtered information and role-based security. The layered architecture levels data knowledge according to cognitive complexity. The dynamic adaptability allows components to meet a variety of objectives by using critical success factors in each component. Filters are placed between the layers to ensure that each layer only receives relevant data. Finally, a security system based on roles and layers manages access to data. In this paper, we give an overview of CODA and present a simple case study, which illustrates the use of CODA.

Keywords

Critical Success Factor Business Rule Dynamic Adaptability Layered Architecture Special Offer 
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 London 2001

Authors and Affiliations

  • G. R. Ribeiro Justo
    • 1
  • T. Karran
    • 1
  • M. J. Zemerly
    • 1
  1. 1.Cavendish School of Computer ScienceUniversity of WestminsterLondonUK

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