Combining ontologies and markov logic networks for statistical relational mobile network analysis

Kasper Apajalahti, Eero Hyvönen, Juha Niiranen, Vilho Räisänen

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

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Abstract

Mobile networks are managed by means of operations support systems (OSS) which facilitate performance, fault, and configuration management. Network complexity is increasing due to the heterogeneity of cell types, devices, and applications. Characterization and configuration of networks optimally in such a scenario is challenging task. This paper introduces an experimental platform that combines statistical relational learning and semantic technologies by integrating a mobile network simulator, Markov Logic Network model (MLN) and an OWL 2 ontology into a runtime environment tool. Our experiments, based on a prototype implementation, indicate that the combination of an ontology and MLN model can be utilized in network status characterization, optimization and visualization.

Original languageEnglish
Title of host publicationSEMPER 2016 Semantic Web Technologies for Mobile and Pervasive Environments
Subtitle of host publicationProceedings of the 1st Workshop on Semantic Web Technologies for Mobile and Pervasive Environments co-located with the 13th Extended Semantic Web Conference (ESWC 2016)
EditorsThanos Stavropoulos, Georgios Meditskos, Antonis Bikakis
PublisherCEUR
Pages36-45
Number of pages10
Publication statusPublished - 2016
MoE publication typeA4 Article in a conference publication
EventWorkshop on Semantic Web Technologies for Mobile and Pervasive Environments - Heraklion, Greece
Duration: 29 May 201629 May 2016
Conference number: 1

Publication series

NameCEUR Workshop Proceedings
Volume1588
ISSN (Print)1613-0073

Workshop

WorkshopWorkshop on Semantic Web Technologies for Mobile and Pervasive Environments
Abbreviated titleSEMPER
CountryGreece
CityHeraklion
Period29/05/201629/05/2016

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