Combining ontological modelling and probabilistic reasoning for network management

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Journal Title
Journal ISSN
Volume Title
A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
Date
2017
Major/Subject
Mcode
Degree programme
Language
en
Pages
14
63-76
Series
JOURNAL OF AMBIENT INTELLIGENCE AND SMART ENVIRONMENTS, Volume 9, issue 1
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.
Description
Keywords
5G, Markov Logic Networks, Network management, ontologies, probabilistic reasoning, semantic modelling
Other note
Citation
Apajalahti , K , Hyvönen , E , Niiranen , J & Räisänen , V 2017 , ' Combining ontological modelling and probabilistic reasoning for network management ' , JOURNAL OF AMBIENT INTELLIGENCE AND SMART ENVIRONMENTS , vol. 9 , no. 1 , pp. 63-76 . https://doi.org/10.3233/AIS-160419