Telecommunication Systems

, Volume 40, Issue 1, pp 27–37

A computational intelligence method for traversing dynamically constructed networks of knowledge

Authors

    • Faculty of Computing and EngineeringUniversity of Ulster
  • Matthias Baumgarten
    • Faculty of Computing and EngineeringUniversity of Ulster
  • Maurice Mulvenna
    • Faculty of Computing and EngineeringUniversity of Ulster
  • Chris Nugent
    • Faculty of Computing and EngineeringUniversity of Ulster
  • Kieran Greer
    • Faculty of Computing and EngineeringUniversity of Ulster
Article

DOI: 10.1007/s11235-008-9128-7

Cite this article as:
Curran, K., Baumgarten, M., Mulvenna, M. et al. Telecommun Syst (2009) 40: 27. doi:10.1007/s11235-008-9128-7
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Abstract

A core goal for autonomous systems such as proposed here is automated collaboration in order to perform tasks or share information. The system is always distributed by default and frequently on a large-scale. It can be argued that robustness and economy demand the deployment of a tested autonomic supporting infrastructure whenever possible. A knowledge network is a generic structure that organises distributed knowledge of any format into a system that will allow it to be retrieved efficiently. The rationale of the knowledge network is to act as a middle layer that connects to a multitude of sources, organises them based on various concepts and finally provides well-structured, pre-organised knowledge to individual services and applications. To use the knowledge network we need a querying mechanism to be able to retrieve information. The knowledge network will organise itself in an autonomous manner and it is possible to use the querying mechanism also as part of the knowledge organization mechanism, to autonomously create temporary views that reflect the use of the system. This paper is an attempt to investigate the peculiarities of node behaviour in traversing such a knowledge network. We investigate a variety of methods of traversing a knowledge network.

Keywords

Network simulationAutonomousKnowledgeNetworkSelf-organisationSelf-adaptation
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Copyright information

© Springer Science+Business Media, LLC 2008