Ontology-driven knowledge management for cognitive networks

Dimitris N. Kanellopoulos

International Journal of Enterprise Network Management, 2011, vol. 4, issue 3, 229-246

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. (search for similar items in EconPapers)
Date: 2011
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