Artificial Intelligence and cultural heritage: an approach from the Digital Humanities
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Abstract
A panoramic vision of Artificial Intelligence applications in the cultural heritage sector is presented. These are organized in three groups: (1) digital documentation and conservation of sculptural and architectural heritage, (2) management, dissemination and study of digital collections based on the enrichment of their metadata and the interaction with the communities interested in them, and (3) interdisciplinary research approaches that use machine learning tools to perform macroscopic readings of large sets of artistic works, extending the methodologies of image studies. This approach uses the Digital Humanities as a starting point to propose routes to face the challenges experienced by cultural institutions in the horizon of possibilities described.
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Universidad Michoacana de San Nicolás de Hidalgo, Coordination of Scientific Research, Av. Francisco J. Mújica, Building "C-2", Ciudad Universitaria, Morelia, Michoacán, México, C.P. 58030. All rights reserved. The content of the articles is the responsibility of the authors and does not necessarily reflect the opinion of the editors. The reproduction, publication, transmission, dissemination in any mode or medium of any part of the material contained in the file (text only without images) is permitted without altering or modifying the original, for reference and/or reproduction, academic or educational purposes, with the exception of personal or commercial ones, citing the reference source and granting the corresponding credit to the author and the editor. If this is the case, please send us a copy.
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License.