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.
A rule-based implementation of fuzzy tableau reasoning / S. Bragaglia; F. Chesani; P. Mello; D. Sottara. - STAMPA. - 6403:(2010), pp. 35-49. (Intervento presentato al convegno Semantic Web Rules - International Symposium, RuleML 2010 tenutosi a Washington, DC, USA. nel October 21-23, 2010.).
A rule-based implementation of fuzzy tableau reasoning
BRAGAGLIA, STEFANO;CHESANI, FEDERICO;MELLO, PAOLA;SOTTARA, DAVIDE
2010
Abstract
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.