In this paper, we tackle Natural Language (NL) command interpretation for artificial agents. Our architecture relies on a logical modeling of the user’s command to enhance the semantic interpretation. This allows us to catch the relations between terms in the user sentence. We present our approach based on a surface syntactic analysis. We first define our surface analysis algorithm, based on the recognition of the ontology relation in a command to build its logical model. Lastly, we briefly show how our model can be used for semantic interpretation of the command.