Téléchargement | - Voir le manuscrit accepté : A fuzzy logic-based approach to uncertainty treatment in the rule interchange format: from encoding to extension (PDF, 368 Kio)
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DOI | Trouver le DOI : https://doi.org/10.1007/978-3-642-35975-0_11 |
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Auteur | Rechercher : Zhao, Jidi; Rechercher : Boley, Harold1; Rechercher : Dong, Jing |
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Affiliation | - Conseil national de recherches du Canada. Institut de technologie de l'information du CNRC
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Format | Texte, Chapitre de livre |
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Conférence | 4th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW), to be held as part of the 7th International Semantic Web Conference (ISWC), October 26-30, 2008, Karlsruhe, Germany; 5th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW), to be held as part of the 8th International Semantic Web Conference (ISWC), October 25-29, 2009, Washington, D.C. USA; 6th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW-10), to be held as part of the 9th international semantic web conference November 7-11, 2010, Shanghai, China; or presented at the First International Workshop on Uncertainty in Description Logics (UniDL 2010) in July 20‚ 2010, Edinburgh‚ UK. |
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Sujet | fuzzy logic; knowledge management; linked data; ontology learning; probability theory |
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Résumé | The Rule Interchange Format (RIF) is a W3C recommendation that allows rules to be exchanged between rule systems. Uncertainty is an intrinsic feature of real world knowledge, hence it is important to take it into account when building logic rule formalisms. However, the set of truth values in the RIF Basic Logic Dialect (RIF-BLD) currently consists of only two values (t and f), although the RIF Framework for Logic Dialects (RIF-FLD) allows for more. In this paper, we first present two techniques of encoding uncertain knowledge and its fuzzy semantics in RIF-BLD presentation syntax. We then propose an extension leading to an Uncertainty Rule Dialect (RIF-URD) to support a direct representation of uncertain knowledge. In addition, rules in Logic Programs (LP) are often used in combination with the other widely-used knowledge representation formalism of the Semantic Web, namely Description Logics (DL), in many application scenarios of the Semantic Web. To prepare DL as well as LP extensions, we present a fuzzy extension to Description Logic Programs (DLP), called Fuzzy DLP, and discuss its mapping to RIF. Such a formalism not only combines DL with LP, as in DLP, but also supports uncertain knowledge representation. |
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Date de publication | 2013 |
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Maison d’édition | Springer Berlin Heidelberg |
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Dans | |
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Série | |
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Langue | anglais |
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Publications évaluées par des pairs | Oui |
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Numéro NPARC | 21264936 |
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Exporter la notice | Exporter en format RIS |
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Signaler une correction | Signaler une correction (s'ouvre dans un nouvel onglet) |
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Identificateur de l’enregistrement | d016e61a-7236-421e-8ee1-60d96cc1008d |
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Enregistrement créé | 2013-03-22 |
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Enregistrement modifié | 2020-06-18 |
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