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 language | English |
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Title of host publication | SEMPER 2016 Semantic Web Technologies for Mobile and Pervasive Environments |
Subtitle of host publication | Proceedings of the 1st Workshop on Semantic Web Technologies for Mobile and Pervasive Environments co-located with the 13th Extended Semantic Web Conference (ESWC 2016) |
Editors | Thanos Stavropoulos, Georgios Meditskos, Antonis Bikakis |
Publisher | CEUR |
Pages | 36-45 |
Number of pages | 10 |
Publication status | Published - 2016 |
MoE publication type | A4 Article in a conference publication |
Event | Workshop on Semantic Web Technologies for Mobile and Pervasive Environments - Heraklion, Greece Duration: 29 May 2016 → 29 May 2016 Conference number: 1 |
Publication series
Name | CEUR Workshop Proceedings |
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Volume | 1588 |
ISSN (Print) | 1613-0073 |
Workshop
Workshop | Workshop on Semantic Web Technologies for Mobile and Pervasive Environments |
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Abbreviated title | SEMPER |
Country/Territory | Greece |
City | Heraklion |
Period | 29/05/2016 → 29/05/2016 |