Abstract
Art historical photo archives that want to expose their data in Linked Open Data need to rely on shareable models. Merging possibly contradictory information may affect data reliability. In this paper are introduced two ontologies, i.e. F Entry Ontology and OA Entry Ontology, which provide a complete description of items related to Photography and Arts domains and address the description of questionable information provided by different institutions. A preliminary analysis of the Zeri’s photo archive was performed for guiding the creation of the ontologies and the mapping of all the partners’ metadata schemas.
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Acknowledgments
I would like to express my grateful thanks to my supervisor Dr. Francesca Tomasi (University of Bologna) for her ongoing support in writing this thesis.
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Daquino, M. (2017). Photo Archives in Linked Open Data – The Federico Zeri’s Archive Case Study. In: Ciancarini, P., et al. Knowledge Engineering and Knowledge Management. EKAW 2016. Lecture Notes in Computer Science(), vol 10180. Springer, Cham. https://doi.org/10.1007/978-3-319-58694-6_34
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DOI: https://doi.org/10.1007/978-3-319-58694-6_34
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