Paper Info
Title
An hybrid architecture integrating forward rules with fuzzy ontological reasoning
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.
Year
DOI
Venue
2010
10.1007/978-3-642-13769-3_53
HAIS (1)
Keywords
Field
DocType
fuzzy reasoning,uncertainty reasoning,drools framework,fuzzy expressiveness,fuzzydl system,fuzzy ontological reasoning,drools business rule management,hybrid architecture,decision-support system,ontological reasoning,pellet owl reasoner,forward rule
Ontology (information science),Rule-based system,Semantic reasoner,Computer science,Fuzzy logic,Model-based reasoning,Deductive reasoning,Artificial intelligence,Business rule management system,Reasoning system
Conference
Volume
ISSN
ISBN
6076
0302-9743
3-642-13768-7
Citations 
PageRank 
References 
14
0.73
9
Authors
6
Name
Order
Citations
PageRank
Stefano Bragaglia1595.50
federico chesani280146.41
Anna Ciampolini313315.72
Paola Mello444421.33
Marco Montali5128099.36
Davide Sottara67214.68