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Situation Recognition for Service Management Systems Using OWL 2 Reasoners

Waltenegus DargieWaltenegus Dargie, EldoraEldora, Julian MendezJulian Mendez, Christoph MöbiusChristoph Möbius, Kateryna RybinaKateryna Rybina, Veronika ThostVeronika Thost, Anni-Yasmin TurhanAnni-Yasmin Turhan

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Waltenegus Dargie, Eldora, Julian Mendez, Christoph Möbius, Kateryna Rybina, Veronika Thost, Anni-Yasmin Turhan
Situation Recognition for Service Management Systems Using OWL 2 Reasoners
Proceedings of the 10th IEEE Workshop on Context Modeling and Reasoning 2013, 31--36, 2013. IEEE Computer Society

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KurzfassungAbstract
For service management systems the early recognition of situations that
necessitate a rebinding or a migration of services is an important task. To describe these situations on differing levels of detail and to allow their recognition even if only incomplete information is available, we employ the ontology language OWL 2 and the reasoning services defined for it. In this paper we provide a case study on the performance of state of the art OWL 2 reasoning systems for answering class queries and conjunctive queries modeling the relevant situations for service rebinding or migration in the differing OWL
2 profiles.
Forschungsgruppe:Research Group: AutomatentheorieAutomata Theory

@inproceedings{ DelMe13,
  address = {San Diego, California},
  author = {Waltenegus {Dargie} and {Eldora} and Julian {Mendez} and Christoph {M{\"o}bius} and Kateryna {Rybina} and Veronika {Thost} and Anni-Yasmin {Turhan}},
  booktitle = {Proceedings of the 10th IEEE Workshop on Context Modeling and Reasoning 2013},
  month = {March},
  pages = {31--36},
  publisher = {IEEE Computer Society},
  title = {Situation Recognition for Service Management Systems Using OWL 2 Reasoners},
  year = {2013},
}