Combining ontological modelling and probabilistic reasoning for network management

Kasper Apajalahti*, Eero Hyvönen, Juha Niiranen, Vilho Räisänen

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

3 Citations (Scopus)

Abstract

Advanced automation is needed in future mobile networks to provide adequate service quality economically and with high reliability. In this paper, a system is presented that takes into account the network context, analyses uncertain information, and infers network configurations by means of probabilistic reasoning. The system introduced in this paper is an experimental platform integrating a mobile network simulator, a Markov Logic Network (MLN) model, and an OWL 2 ontology into a runtime environment that can be monitored via a Resource Description Framework (RDF)-based user interface. In this approach, the OWL ontology contains a semantic representation of the relevant concepts, and the MLN model evaluates elements of uncertain information. Experiments based on a prototype implementation demonstrate the value of semantic modelling and probabilistic reasoning in network status characterization, optimization, and visualization.

Original languageEnglish
Pages (from-to)63-76
Number of pages14
JournalJOURNAL OF AMBIENT INTELLIGENCE AND SMART ENVIRONMENTS
Volume9
Issue number1
DOIs
Publication statusPublished - 2017
MoE publication typeA1 Journal article-refereed

Keywords

  • 5G
  • Markov Logic Networks
  • Network management
  • ontologies
  • probabilistic reasoning
  • semantic modelling

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