Combining ontological modelling and probabilistic reasoning for network management
| Autor: | Eero Hyvönen, Kasper Apajalahti, Vilho Räisänen, Juha Niiranen |
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| Přispěvatelé: | Department of Computer Science, University of Helsinki, Nokia Bell Labs, Aalto-yliopisto, Aalto University |
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Reasoning system
Markov Logic Networks business.industry Computer science Probabilistic logic Network management 020206 networking & telecommunications 02 engineering and technology Machine learning computer.software_genre Probabilistic argumentation semantic modelling Probabilistic CTL 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing ontologies Artificial intelligence business computer Software 5G probabilistic reasoning |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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