Abstract

We propose a perspective article on using computational hermeneutics models, i.e., the analysis of texts assisted by artificial intelligence. It will not be a question here of developing a technical approach to construct these models, but rather of showing how, based on the existing data, some general principles for a pragmatic approach to this field can be proposed using computer ontologies. We will see that these AIs can be used to create hermeneutic models capable of producing formal and semantic representations of sociolinguistic contexts from the analysis of texts. The main suggestion here will be to use these models to reproduce a hermeneutic network, i.e., a collaborative human-machine interaction capable of both interpreting and clarifying the concepts of a field of practice. In conclusion, we will argue that these machines are capable of expressing meaning through symbolic forms that emerge from their interactions with experts.