A rule-based implementation of fuzzy tableau reasoning

Stefano Bragaglia, Federico Chesani, Paola Mello, Davide Sottara

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations


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)
Title of host publicationSemantic Web Rules - International Symposium, RuleML 2010, Proceedings
PublisherSpringer Verlag
Number of pages15
ISBN (Print)3642162886, 9783642162886
StatePublished - 2010
Externally publishedYes

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6403 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


  • Description Logic
  • Fuzzy Systems
  • Rule-Based Systems
  • Tableau Reasoning

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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