CRIS Current Research Information System
IRIS è la soluzione IT che facilita la raccolta e la gestione dei dati relativi alle attività e ai prodotti della ricerca. Fornisce a ricercatori, amministratori e valutatori gli strumenti per monitorare i risultati della ricerca, aumentarne la visibilità e allocare in modo efficace le risorse disponibili.
EnglishIntegrating 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 omplementary 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.
| Titolo: | A Step toward Tight Integration of Fuzzy Ontological Reasoning with Forward Rules |
| Autore/i: | BRAGAGLIA, STEFANO; CHESANI, FEDERICO; MELLO, PAOLA; SOTTARA, DAVIDE |
| Autore/i Unibo: | |
| Anno: | 2010 |
| Titolo del libro: | Web Reasoning and Rule Systems - Fourth International Conference, RR 2010, Bressanone/Brixen, Italy, September 22-24, 2010. Proceedings |
| Pagina iniziale: | 227 |
| Pagina finale: | 230 |
| 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 omplementary 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. |
| Data prodotto definitivo in UGOV: | 17-feb-2011 |
| Appare nelle tipologie: | 4.01 Contributo in Atti di convegno |
File in questo prodotto:
http://hdl.handle.net/11585/98395
Copyright © 2021