  Iconology is a branch of art history that investigates the meaning of
artworks in relation to their social and cultural background. Nowadays, several
interdisciplinary research fields leverage theoretical frameworks close to
iconology to pursue quantitative Art History with data science methods and
Semantic Web technologies. However, while Iconographic studies have been
recently addressed in ontologies, a complete description of aspects relevant to
iconological studies is still missing. In this article, we present a
preliminary study on eleven case studies selected from the literature and we
envision new terms for extending existing ontologies. We validate new terms
according to a common evaluation method and we discuss our results in the light
of the opportunities that such an extended ontology would arise in the
community of Digital Art History.

Digital Libraries;Artificial Intelligence