@inproceedings{apajalahti-et-al-markov-2016,
  author =   {Kasper Apajalahti, Eero Hyvönen, Juha Niiranen, Vilho Räisänen},
  title =    {Combining Ontologies and Markov Logic Networks for Statistical Relational Mobile Network Analysis},
  booktitle = {Proceedings of the 1st Workshop on Semantic Web Technologies for Mobile and Pervasive Environments (SEMPER)},
  year = {2016},
  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 OWL and MLN
reasoning can be effectively utilized in network status characterization,
optimization and visualization.},
  month = {May},
  location = {Heraklion, Crete, Greece},
  publisher = {CEUR Workshop Proceedings},
  note = {Vol 1588},
  url = {http://www.ceur-ws.org/Vol-1588},
  abstract = {},
  OPTproject =  {http://www.seco.tkk.fi/projects/mobile5g/},
  OPTannotate = {}
}