  This paper describes an approach to the representation and processing of
ontologies in the Semantic Web, based on the ICMAUS theory of computation and
AI. This approach has strengths that complement those of languages based on the
Resource Description Framework (RDF) such as RDF Schema and DAML+OIL. The main
benefits of the ICMAUS approach are simplicity and comprehensibility in the
representation of ontologies, an ability to cope with errors and uncertainties
in knowledge, and a versatile reasoning system with capabilities in the kinds
of probabilistic reasoning that seem to be required in the Semantic Web.
