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  • Rafael Peñaloza NyssenRafael Peñaloza Nyssen
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  • AutomatentheorieAutomata Theory

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Conjunctive Query Answering in Rough EL

Rafael PeñalozaRafael Peñaloza,  Veronika ThostVeronika Thost,  Anni-Yasmin TurhanAnni-Yasmin Turhan

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Rafael Peñaloza, Veronika Thost, Anni-Yasmin Turhan
Conjunctive Query Answering in Rough EL
Technical Report, Chair of Automata Theory, Institute of Theoretical Computer Science, Technische Universität Dresden, volume 14-04, 2014. LTCS-Report

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• KurzfassungAbstract
  Rough Description Logics have recently been studied as a means for representing and reasoning with imprecise knowledge. Real-world applications need to exploit reasoning over such knowledge in an efficient way. We describe how the combined approach to query answering can be extended to the rough setting. In particular, we extend both the canonical model and the rewriting procedure such that rough queries over rough EL ontologies can be answered by considering this information alone.
• Bemerkung: Note: See http://lat.inf.tu-dresden.de/research/reports.html.
• Forschungsgruppe:Research Group: AutomatentheorieAutomata Theory

@techreport{ PeTT-LTCS-14-04,
  address = {Dresden, Germany},
  author = {Rafael {Pe{\~n}aloza} and Veronika {Thost} and Anni-Yasmin {Turhan}},
  institution = {Chair of Automata Theory, Institute of Theoretical Computer Science, Technische Universit{\"a}t Dresden},
  note = {See \url{http://lat.inf.tu-dresden.de/research/reports.html}.},
  number = {14-04},
  title = {Conjunctive Query Answering in Rough EL},
  type = {LTCS-Report},
  year = {2014},
}