Abstract
Integrating distinct reasoning styles such as the ones exploited by description logics, rule-based systems and fuzzy logic is still an open challenge because of the differences among them. Three complementary approaches suggest possible models of integration: loose integration, tight integration and embedded integration. Loose integration couples existing tools into a hybrid system, handling their mutual interactions and keeping their knowledge aligned. Tight integration, instead, is based on a unique theory and framework supporting both reasoning styles. Embedded integration is a mixed approach aimed to the simplicity of the former and the efficiency of the latter. In this paper we present our experiences on the implementation of a basic loosely-coupled system and a more advanced embedded solution.
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Bragaglia, S., Chesani, F., Mello, P., Sottara, D. (2010). A Step toward Tight Integration of Fuzzy Ontological Reasoning with Forward Rules. In: Hitzler, P., Lukasiewicz, T. (eds) Web Reasoning and Rule Systems. RR 2010. Lecture Notes in Computer Science, vol 6333. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15918-3_20
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DOI: https://doi.org/10.1007/978-3-642-15918-3_20
Publisher Name: Springer, Berlin, Heidelberg
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