An hybrid architecture integrating forward rules with fuzzy ontological reasoning

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

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

20 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationHybrid Artificial Intelligence Systems - 5th International Conference, HAIS 2010, Proceedings
Pages438-445
Number of pages8
EditionPART 1
DOIs
StatePublished - Jul 20 2010
Event5th International Conference on Hybrid Artificial Intelligence Systems, HAIS 2010 - San Sebastian, Spain
Duration: Jun 23 2010Jun 25 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume6076 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other5th International Conference on Hybrid Artificial Intelligence Systems, HAIS 2010
CountrySpain
CitySan Sebastian
Period6/23/106/25/10

Keywords

  • Decision Support Systems
  • Fuzzy Reasoning
  • Rule-based Reasoning
  • Rules Integration with Ontologies
  • eTourism

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Bragaglia, S., Chesani, F., Ciampolini, A., Mello, P., Montali, M., & Sottara, D. (2010). An hybrid architecture integrating forward rules with fuzzy ontological reasoning. In Hybrid Artificial Intelligence Systems - 5th International Conference, HAIS 2010, Proceedings (PART 1 ed., pp. 438-445). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6076 LNAI, No. PART 1). https://doi.org/10.1007/978-3-642-13769-3_53