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Article

A Methodology for Semantic Enrichment of Cultural Heritage Images Using Artificial Intelligence Technologies

1
ADAPT Centre, School of Computing, Dublin City University, Glasnevin Campus, Dublin 9, Dublin, Ireland
2
Austrian Centre for Digital Humanities and Cultural Heritage (ACDH-CH OeAW), Austrian Academy of Sciences, 1010 Vienna, Austria
3
AIT Angewandte Informationstechnik Forschungsgesellschaft mbH, Europeana Local AT, Klosterwiesgasse 32, 8010 Graz, Austria
*
Author to whom correspondence should be addressed.
Academic Editors: Giovanna Castellano, Gennaro Vessio and Fabio Bellavia
J. Imaging 2021, 7(8), 121; https://doi.org/10.3390/jimaging7080121
Received: 15 June 2021 / Revised: 16 July 2021 / Accepted: 18 July 2021 / Published: 22 July 2021
(This article belongs to the Special Issue Fine Art Pattern Extraction and Recognition)
Cultural heritage images are among the primary media for communicating and preserving the cultural values of a society. The images represent concrete and abstract content and symbolise the social, economic, political, and cultural values of the society. However, an enormous amount of such values embedded in the images is left unexploited partly due to the absence of methodological and technical solutions to capture, represent, and exploit the latent information. With the emergence of new technologies and availability of cultural heritage images in digital formats, the methodology followed to semantically enrich and utilise such resources become a vital factor in supporting users need. This paper presents a methodology proposed to unearth the cultural information communicated via cultural digital images by applying Artificial Intelligence (AI) technologies (such as Computer Vision (CV) and semantic web technologies). To this end, the paper presents a methodology that enables efficient analysis and enrichment of a large collection of cultural images covering all the major phases and tasks. The proposed method is applied and tested using a case study on cultural image collections from the Europeana platform. The paper further presents the analysis of the case study, the challenges, the lessons learned, and promising future research areas on the topic. View Full-Text
Keywords: cultural images; cultural heritage; artificial intelligence; computer vision; semantic enrichment; image analysis; digital humanities; ontologies; deep learning cultural images; cultural heritage; artificial intelligence; computer vision; semantic enrichment; image analysis; digital humanities; ontologies; deep learning
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MDPI and ACS Style

Abgaz, Y.; Rocha Souza, R.; Methuku, J.; Koch, G.; Dorn, A. A Methodology for Semantic Enrichment of Cultural Heritage Images Using Artificial Intelligence Technologies. J. Imaging 2021, 7, 121. https://doi.org/10.3390/jimaging7080121

AMA Style

Abgaz Y, Rocha Souza R, Methuku J, Koch G, Dorn A. A Methodology for Semantic Enrichment of Cultural Heritage Images Using Artificial Intelligence Technologies. Journal of Imaging. 2021; 7(8):121. https://doi.org/10.3390/jimaging7080121

Chicago/Turabian Style

Abgaz, Yalemisew, Renato Rocha Souza, Japesh Methuku, Gerda Koch, and Amelie Dorn. 2021. "A Methodology for Semantic Enrichment of Cultural Heritage Images Using Artificial Intelligence Technologies" Journal of Imaging 7, no. 8: 121. https://doi.org/10.3390/jimaging7080121

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