# Modelling Art Interpretation and Meaning. A Data Model for Describing Iconology and Iconography

arXiv: https://arxiv.org/abs/2106.12967 · HTML: https://mlsanity.com/paper/2106.12967/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 2 of its 34 references that are in the map.
- First posted on arXiv 23 Jun 2021.

## Builds on (most cited first, 2 of 2)

- [ArCo: the Italian Cultural Heritage Knowledge Graph](https://mlsanity.com/paper/1905.02840/) (2019)
- [Enhancing semantic expressivity in the cultural heritage domain: exposing the Zeri Photo Archive as Linked Open Data](https://mlsanity.com/paper/1605.01188/) (2016)

## Built on by (most cited first, 1 of 1)

- [Marriage is a Peach and a Chalice: Modelling Cultural Symbolism on the SemanticWeb](https://mlsanity.com/paper/2111.02123/) (2021)

## Abstract (arXiv)

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.