A Plausible Inference Applied to the Mechanism of Semantic Web Searching

Abstract

This paper presents a prototype that is capable of drawing plausible inferences from resource description framework (RDF) assertions that are constituents of a distributed, Semantic Web knowledge system. The approach taken to build the prototype can be viewed as the extension and adaptation of a classical approach to plausible inference to exploit the evolving infrastructure being developed to represent declarative knowledge on the Semantic Web. The approach includes a knowledge representation formalism that supports meta properties, which define precise semantics, enabling subsequent plausible inferences via extended composition of RDF properties. This paper describes how searching mechanism is applied on to the web and then introducing the plausible inference that is applied to this searching mechanism.