An Implementation of Plausible Inference for the Semantic Web

摘要

This paper presents the implementation of a prototype that is capable of drawing plausible inferences from RDF representations that are constituents of a Semantic Web framework. Our approach can be viewed as the adaptation and implementation of a classical approach to plausible inference using extended composition to exploit the evolving infrastructure being developed to represent declarative knowledge on the Semantic Web. Most research and development in the context of the Semantic Web has been devoted to representational infrastructure and accompanying query and logical deduction formalisms to evolve the Web from a document repository to a set of distributed knowledge bases. Our work is significant in that it provides a Semantic Web application in which the generation of new inferences is not with the deductive closure of the knowledge and data expressed by a collection of information sources whose meta data is represented in RDF.