Combining ontologies and markov logic networks for statistical relational mobile network analysis
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A4 Artikkeli konferenssijulkaisussa
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en
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10
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SEMPER 2016 Semantic Web Technologies for Mobile and Pervasive Environments: 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), pp. 36-45, CEUR Workshop Proceedings ; Volume 1588
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.Description
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Apajalahti, K, Hyvönen, E, Niiranen, J & Räisänen, V 2016, Combining ontologies and markov logic networks for statistical relational mobile network analysis. in T Stavropoulos, G Meditskos & A Bikakis (eds), SEMPER 2016 Semantic Web Technologies for Mobile and Pervasive Environments : 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). CEUR Workshop Proceedings, vol. 1588, CEUR, pp. 36-45, Workshop on Semantic Web Technologies for Mobile and Pervasive Environments, Heraklion, Greece, 29/05/2016.