Title: Ontology-driven knowledge management for cognitive networks

Authors: Dimitris N. Kanellopoulos

Addresses: Department of Mathematics, University of Patras, University Campus, 26 500, Rio, Patras, Greece

Abstract: Cognitive networks are still in their infancy and are envisaged for efficient and autonomic management of increasing complexity of communication networks. A cognitive network (CN) is self-aware, self-configuring, self-optimising, self-healing and self-protecting. Therefore, it has knowledge about itself, its building blocks and their interconnection, and can share this knowledge and reason based on this. For developing a CN, two elements are required: knowledge representation and the cognition loop. In this paper, we present existing research work on cognitive networks that refers to ontological network representations for telecommunication network management. We provide a brief summary of artificial intelligent techniques that are appropriate for the development of a CN as well as the managerial implications of CNs. Architectural proposals, which are based on ontologies and comply with the requirements for a CN, are also presented.

Keywords: cognitive networks; self-aware networks; autonomic networks; knowledge representation; ontology-based management; knowledge management; KM; communication networks; self-configuring networks; self-optimising networks; self-healing networks; self-protecting networks; interconnections; knowledge sharing; cognition loops; ontological network representations; telecommunications; artificial intelligence; ontologies; enterprise network management.

DOI: 10.1504/IJENM.2011.041154

International Journal of Enterprise Network Management, 2011 Vol.4 No.3, pp.229 - 246

Published online: 22 Oct 2014 *

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