Mining Authoritativeness in Art Historical Photo Archives. Semantic Web Applications for Connoisseurship

Daquino, Marilena (2019) Mining Authoritativeness in Art Historical Photo Archives. Semantic Web Applications for Connoisseurship, [Dissertation thesis], Alma Mater Studiorum Università di Bologna. Dottorato di ricerca in Culture letterarie e filologiche, 31 Ciclo. DOI 10.6092/unibo/amsdottorato/8968.
Documenti full-text disponibili:
[img] Documento PDF (English) - Richiede un lettore di PDF come Xpdf o Adobe Acrobat Reader
Disponibile con Licenza: Creative Commons Attribution Non-commercial ShareAlike 4.0 (CC BY-NC-SA 4.0) .
Download (5MB)


The purpose of this work is threefold: (i) to facilitate knowledge discovery in art historical photo archives, (ii) to support users' decision-making process when evaluating contradictory artwork attributions, and (iii) to provide policies for information quality improvement in art historical photo archives. The approach is to leverage Semantic Web technologies in order to aggregate, assess, and recommend the most documented authorship attributions. In particular, findings of this work offer art historians an aid for retrieving relevant sources, assessing textual authoritativeness (i.e. internal grounds) of sources of attribution, and evaluating cognitive authoritativeness of cited scholars. At the same time, the retrieval process allows art historical data providers to define a low-cost data integration process to update and enrich their collection data. The contributions of this thesis are the following: (1) a methodology for representing questionable information by means of ontologies; (2) a conceptual framework of Information Quality measures addressing dimensions of textual and cognitive authoritativeness characterising art historical data, (3) a number of policies for metadata quality improvement in art historical photo archives as derived from the application of the framework, (4) a ranking model leveraging the conceptual framework, (5) a semantic crawler, called mAuth, that harvests authorship attributions in the Web of Data, and (6) an API and a Web Application to serve information to applications and final users for consuming data. Despite findings are limited to a restricted number of photo archives and datasets, the research impacts on a broader number of stakeholders, such as archives, museums, and libraries, which can reuse the conceptual framework for assessing questionable information, mutatis mutandi, to other near fields in the Humanities.

Tipologia del documento
Tesi di dottorato
Daquino, Marilena
Dottorato di ricerca
Settore disciplinare
Settore concorsuale
Parole chiave
Knowledge Discovery, Linked Data, Art History, Photography, Authoritativeness, Information Quality
Data di discussione
8 Aprile 2019

Altri metadati

Statistica sui download

Gestione del documento: Visualizza la tesi