In this paper the authors propose a representation for what they have called an interpretation of a text. They base this representation on TMR (Text Meaning Representation), an interlingual representation developed for Machine Translation purposes. A TMR consists of a complex feature-value structure, with the feature names and filler values drawn from an ontology, in this case, ONTOS, developed concurrently with TMR. The authors suggest on the basis of previous work, that a representation of an interpretation of a text must build on a TMR structure for the text in several ways: (1) by the inclusion of additional required features and feature values (which may themselves be complex feature structures); (2) by pragmatically filling in empty slots in the TMR structure itself; and (3) by supporting the connections between feature values by including, as part of the TMR itself, the chains of inferencing that link various parts of the structure.