In the last decade, ontologies as shared common vocabulary played a major role in many AI applications and information integration for heterogeneous, distributed systems. The problems of integrating and developing information systems and databases in heterogeneous, distributed environment have been translated in the technical perspectives as system’s interoperability. Ontologies, however, are foreseen to play a key role in resolving partially the semantic conflicts and differences that exist among systems. Domain ontologies, however, are constructed by capturing a set of concepts and their links according to various criteria such as the abstraction paradigm, the granularity scale, interest of user communities, and the perception of the ontology developer. Thus, different applications of the same domain end up having several representations of the same real world phenomenon. Multi-representation ontology is an ontology (or ontologies) that characterizes ontological concept by a variable set of properties (static and dynamic) or attributes in several contexts and/ or in several scales of granularity. This paper introduces the formalism used for defining the paradigm of multi-representation ontology and shows the manifestation of this paradigm with Enterprise Information Systems.