A fuzzy logic-based approach to uncertainty treatment in the rule interchange format: from encoding to extension

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DOIResolve DOI: http://doi.org/10.1007/978-3-642-35975-0_11
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TypeBook Chapter
Proceedings titleUncertainty Reasoning for the Semantic Web II : International Workshops URSW 2008-2010 Held at ISWC and UniDL 2010 Held at FLoC, Revised Selected Papers
Series titleLecture Notes In Computer Science; Volume 7123
Conference4th 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.
ISSN0302-9743
ISBN978-3-642-35974-3
978-3-642-35975-0
Pages197216; # of pages: 19
Subjectfuzzy logic; knowledge management; linked data; ontology learning; probability theory
AbstractThe 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.
Publication date
PublisherSpringer Berlin Heidelberg
LanguageEnglish
AffiliationNational Research Council Canada; NRC Institute for Information Technology
Peer reviewedYes
NPARC number21264936
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Record identifierd016e61a-7236-421e-8ee1-60d96cc1008d
Record created2013-03-22
Record modified2016-06-21
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