Abductive Conjunctive Query Answering w.r.t. Ontologies

Ralf Möller, Özgür L. Özcep, Volker Haarslev, Anahita Nafissi, Michael Wessel


In this article we investigate abductive conjunctive query answering w.r.t. ontologies and show how use cases can benefit from this kind of query answering service. While practical reasoning systems such as Racer have supported abductive conjunctive query answering for 10 years now, and many projects have exploited this feature, few publications deal with A-box abduction from an implementation perspective. This article gives a generalized overview on features provided by practical systems and also explains optimization techniques needed to meet practical requirements.

Original languageEnglish
JournalKI - Künstliche Intelligenz
Issue number2
Pages (from-to)177-182
Number of pages6
Publication statusPublished - 13.10.2016

DFG Research Classification Scheme

  • 409-06 Information Systems, Process and Knowledge Management
  • 409-05 Interactive and Intelligent Systems, Image and Language Processing, Computer Graphics and Visualisation


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