A rule-based implementation of fuzzy tableau reasoning

Stefano Bragaglia, Federico Chesani, Paola Mello, Davide Sottara

Research output: Contribution to conferencePaperpeer-review


The integration of distinct reasoning styles such as the ones exploited by description logics and rule-based systems is still an open challenge because of the differences among them. Such integration may be achieved by following two complementary approaches: loose integration vs. tight integration. Loosely integrated hybrid systems couple existing tools, so they have to handle mutual interactions and keep their models aligned. Tightly-coupled hybrid systems, instead, are based on a unified model supporting both reasoning styles. In this paper we present a basic implementation of a fuzzy tableau algorithm for description logics by means of rules. It is a step towards tight integration because it requires only one rule engine while preserving the semantics of both reasoning styles. In particular, the adoption of a fuzzy tableau in a fuzzy rule engine allowed us to extend the expressiveness of the latter while handling description logics reasoning coherently.

Original languageEnglish (US)
StatePublished - Dec 1 2010
Externally publishedYes
Event6th Workshop on Semantic Web Applications and Perspectives, SWAP 2010 - Bressanone, Italy
Duration: Sep 21 2010Sep 22 2010


Other6th Workshop on Semantic Web Applications and Perspectives, SWAP 2010


  • Description logic
  • Fuzzy systems
  • Rule-based systems
  • Tableau reasoning

ASJC Scopus subject areas

  • Automotive Engineering
  • Safety, Risk, Reliability and Quality


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