Towards Instance Query Answering for Concepts Relaxed by Similarity Measures

Andreas EckeAndreas Ecke, Rafael PeñalozaRafael Peñaloza, Anni-Yasmin TurhanAnni-Yasmin Turhan

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Andreas Ecke, Rafael Peñaloza, Anni-Yasmin Turhan
Towards Instance Query Answering for Concepts Relaxed by Similarity Measures
Workshop on Weighted Logics for AI (in conjunction with IJCAI'13), 2013

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KurzfassungAbstract
In Description Logics (DL) knowledge bases (KBs) information is typically captured by crisp concept descriptions. However, for many practical applications querying the KB by crisp concepts is too restrictive. A controlled way of gradually relaxing a query concept can be achieved by the use of similarity measures. To this end we formalize the task of instance query answering for crisp DL KBs using concepts relaxed by similarity measures. We identify relevant properties for the similarity measure and give first results on a computation algorithm.
Forschungsgruppe:Research Group: AutomatentheorieAutomata Theory

@inproceedings{ EcPeTu-WL4AI-13,
  address = {Beijing, China},
  author = {Andreas {Ecke} and Rafael {Pe{\~n}aloza} and Anni-Yasmin {Turhan}},
  booktitle = {Workshop on {W}eighted {L}ogics for {AI} (in conjunction with IJCAI'13)},
  title = {Towards Instance Query Answering for Concepts Relaxed by Similarity Measures},
  year = {2013},
}