DeLorean: A reasoner for fuzzy OWL 2. Today, there is a growing interest in the development of knowledge representations able to deal with uncertainty, which is a very common requirement in real world applications. Despite the undisputed success of ontologies, classical ontologies are not suitable to deal with uncertainty and, consequently, several extensions with fuzzy logic and rough logic, among other formalisms, have been proposed. In this article we describe DeLorean 2, the first ontology reasoner that supports fuzzy extensions of the standard languages OWL and OWL 2. In a strict sense, DeLorean is not a reasoner but a translator from fuzzy rough ontology languages into classical ontology languages . This allows using classical (widely available) Description Logic inference engines to reason with the representation resulting from the transformation. We describe the main features of the application: evolution, functionality, architecture, graphical interface, input language, and implementation details.

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  1. Benferhat, Salem; Bouraoui, Zied: Min-based possibilistic \itDL-Lite (2017)
  2. Bobillo, Fernando; Straccia, Umberto: Generalizing type-2 fuzzy ontologies and type-2 fuzzy description logics (2017)
  3. Borgwardt, Stefan; Peñaloza, Rafael: Algorithms for reasoning in very expressive description logics under infinitely valued Gödel semantics (2017)
  4. Boutouhami, Khaoula; Benferhat, Salem; Khellaf, Faiza; Nouioua, Farid: Uncertain lightweight ontologies in a product-based possibility theory framework (2017)
  5. Straccia, Umberto; Bobillo, Fernando: From fuzzy to annotated semantic web languages (2017)
  6. Borgwardt, Stefan; Distel, Felix; Peñaloza, Rafael: The limits of decidability in fuzzy description logics with general concept inclusions (2015)
  7. Straccia, Umberto: All about fuzzy description logics and applications (2015)
  8. Zhang, Fu; Ma, Z. M.; Chen, Xu: Formalizing fuzzy object-oriented database models using fuzzy ontologies (2015)
  9. Zhang, Fu; Ma, Z. M.; Yan, Li; Cheng, Jingwei: Construction of fuzzy OWL ontologies from fuzzy EER models: a semantics-preserving approach (2013)
  10. Bobillo, Fernando; Straccia, Umberto: Generalized fuzzy rough description logics (2012)
  11. Bukhari, Ahmad C.; Kim, Yong-Gi: Integration of a secure type-2 fuzzy ontology with a multi-agent platform: A proposal to automate the personalized flight ticket booking domain (2012) ioport
  12. Zhang, Fu; Ma, Z. M.; Yan, Li; Wang, Yu: A description logic approach for representing and reasoning on fuzzy object-oriented database models (2012)
  13. Bobillo, Fernando; Straccia, Umberto: Fuzzy ontology representation using OWL 2 (2011) ioport
  14. Bobillo, Fernando; Straccia, Umberto: Supporting fuzzy rough sets in fuzzy description logics (2009)
  15. Jiang, Yuncheng; Wang, Ju; Deng, Peimin; Tang, Suqin: Reasoning within expressive fuzzy rough description logics (2009)