An hybrid architecture integrating forward rules with fuzzy ontological reasoning

  • Authors:

  • Stefano Bragaglia;Federico Chesani;Anna Ciampolini;Paola Mello;Marco Montali;Davide Sottara

  • Affiliations:

  • University of Bologna, Bologna, Italy;University of Bologna, Bologna, Italy;University of Bologna, Bologna, Italy;University of Bologna, Bologna, Italy;University of Bologna, Bologna, Italy;University of Bologna, Bologna, Italy

  • Venue:
  • HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part I
  • Year:
  • 2010

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Abstract

In recent years there has been a growing interest in the combination of rules and ontologies Notably, many works have focused on the theoretical aspects of such integration, sometimes leading to concrete solutions However, solutions proposed so far typically reason upon crisp concepts, while concrete domains require also fuzzy expressiveness. In this work we combine mature technologies, namely the Drools business rule management system, the Pellet OWL Reasoner and the FuzzyDL system, to provide a unified framework for supporting fuzzy reasoning After extending the Drools framework (language and engine) to support uncertainty reasoning upon rules, we have integrated it with custom operators that (i) exploit Pellet to perform ontological reasoning, and (ii) exploit FuzzyDL to support fuzzy ontological reasoning. As a case study, we consider a decision-support system for the tourism domain, where ontologies are used to formally describe package tours, and rules are exploited to evaluate the consistency of such packages.