Uncertainty treatment in the rule interchange format: from encoding to extension
Jidi Zhao, Harold Boley · 2008
Harold.Boley AT nrc.gc.ca Abstract. The Rule Interchange Format (RIF) is an emerging W3C format 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 Basic Logic Dialect (RIF-BLD) currently consists of only two values (t and f). 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 order to provide greater expressive power. 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 Description Logics (DL) and Logic Programs (LP) are the two main categories of knowledge