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Contributo para a autenticação de obras de arte: investigação sobre o estudo de caso de Malangatana

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Resumo:Art forgery is a phenomenon that challenges the art market and the authenticity of artworks. Although it has existed since antiquity, forgery has become increasingly sophisticated, exposing the vulnerability of a system that prioritizes immediate profit over the preservation of artistic heritage. The growing number of forgeries in the art market highlights the need for rigorous and accessible authentication methods that protect both collectors and the legacy of artists. In light of this issue, advanced scientific methods, such as physicochemical analyses, have been complementing traditional approaches. This dissertation aims to contribute to the preservation of artistic heritage by focusing on the scientific analysis of the artwork "A Canção dos Olhos em Surdina" by Malangatana, a cultural icon of Mozambique whose legacy holds great significance for African art history. The study applies an authentication protocol using advanced methodologies, including examinations of the artwork and physicochemical analyses of the support, adhesives, and pigments. Additionally, the dissertation introduces the decision tree methodology, a promising technique that enables the creation of a decision flowchart based on attribution markers, aimed at verifying the authenticity of artworks. This method enhances the objectivity of the process by reducing the subjectivity associated with expert analysis. Thus, the applicability and potential of this methodology are explored, which could serve as a support tool for evaluating future works, offering a more systematic and automated process. Despite limitations, such as restricted access to multiple works by Malangatana and the complexity of the authentication process, this research provides a critical perspective on the current state of art forgery and the technological solutions available to combat it. The set of results obtained in this research work may serve as a contribution to the development of databases and computational models applicable to future authenticity analyses, promoting greater protection of artistic heritage
Autores principais:Vilas-Boas, Vitória Silva
Assunto:Malangatana Falsificação Protocolo de autenticação Marcadores de atribuição Árvore de decisão Métodos de exame e análise Arte contemporânea
Ano:2025
País:Portugal
Tipo de documento:dissertação de mestrado
Tipo de acesso:acesso restrito
Instituição associada:Universidade de Lisboa
Idioma:português
Origem:Repositório da Universidade de Lisboa

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