Historicising uncertainty in photo archives for semantic modelling purposes

Daquino, Marilena Historicising uncertainty in photo archives for semantic modelling purposes. JLIS.it, 2026, vol. 17, n. 2, pp. 51-61. [Journal article (Paginated)]

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English abstract

Cultural Heritage (CH) data are inherently ambiguous: attributions shift, authorship is debated, and titles or dates are often uncertain or contested. Cataloguing conventions vary across institutions and time, leading to inconsistencies that affect interoperability. Photo archives amplify these challenges, as early cataloguing practices developed in the absence of shared standards and often treated photographs as secondary to artworks. Linked Open Data (LOD) technologies have opened opportunities to restructure and reconcile such records. However, most models and workflows assume certainty and one-to-one matches between entities, producing overly “clean” interfaces that risk erasing interpretive diversity. Fully reassessing records to resolve uncertainty is rarely feasible, and archivists increasingly face the need to historicise metadata and embrace ambiguity as part of the record itself. This article argues that modelling uncertainty should be treated as a first-class requirement in CH infrastructures, not as a data-cleaning problem. Drawing on cases from PHAROS photo archives, it categorises recurring forms of ambiguity and proposes design principles for representing uncertainty across both data structures and catalogue interfaces, balancing scholarly accuracy with usability.

Item type: Journal article (Paginated)
Keywords: Photo archives; Semantic Web; Uncertainty; Cataloguing.
Date deposited: 15 Sep 2026 05:10
Last modified: 15 Sep 2026 05:10
URI: http://hdl.handle.net/10760/49010

References

Barabucci, Gioele, Francesca Tomasi, and Fabio Vitali. 2021. "Supporting complexity and conjectures in cultural heritage descriptions." In CEUR Workshop Proceedings 2810: 104-115. https://hdl.handle.net/11250/2736994.

Barabucci, Gioele, Tomasi, Francesca and Fabio Vitali. 2022. "Modeling Data Complexity in Public History and Cultural Heritage." In Noiret, Serge, Mark Tebeau, and Gerben Zaagsma, Handbook of Digital Public History. Berlin, Boston: De Gruyter Oldenbourg, 459-74. https://doi.org/10.1515/9783110430295-041.

Bates, Marcia J. 1986. "Subject access in online catalogs: A design model." Journal of the American society for information science 37 (6): 357-76. https://doi.org/10.1002/(SICI)1097-4571(198611)37:6<357::AID-ASI1>3.0.CO;2-H.

Battisti, Tommaso, and Marilena Daquino. 2025. "Uncertainty, narrativity, and critical approaches in Digital Humanities information visualisation projects." In Proceedings of the 21st Conference on Information and Research science Connecting to Digital and Library science, 1-10. https://ceur-ws.org/Vol-3937/short1.pdf.

Brubaker, Jana. 2002. "Ambiguous authorship and uncertain authenticity: A cataloger's dilemma." Cataloging & Classification Quarterly 34 (4): 19-30. https://doi.org/10.1300/J104v34n04_04.

Caraffa, Costanza, ed. 2011. Photo archives and the photographic memory of art history. Berlin: Deutscher Kunstverlag.

Caraffa, Costanza, Emily Pugh, Tracy Stuber, and Louisa Wood Ruby. 2020. "Pharos: A digital research space for photo archives." Art Libraries Journal 45 (1): 2-11. https://doi.org/10.1017/alj.2019.34.

Carroll, Jeremy J., Christian Bizer, Pat Hayes, and Patrick Stickler. 2005. “Named graphs.” Journal of Web Semantics 3(4): 247-67. https://doi.org/10.1016/j.websem.2005.09.001.

Daquino, Marilena, Mambelli, Francesca, & Kozlov, Artem. 2026. “Many-to-many. Usability challenges of entity reconciliation in art history and photographic studies.” Journal of Documentation 82 (2): 362–380. https://doi.org/10.1108/JD-09-2025-0284

Daquino, Marilena, and Francesca Tomasi. 2015. "Historical Context Ontology (HiCO): a conceptual model for describing context information of cultural heritage objects." In Metadata and Semantics Research. MTSR 2015. Communications in Computer and Information Science, edited by Emmanouel Garoufallou, Richard J. Hartley, and Panorea Gaitanou, 424-36. Cham: Springer. https://doi.org/10.1007/978-3-319-24129-6_37.

Drucker, Johanna. 2011. "Humanities approaches to graphical display." Digital Humanities Quarterly 5 (1): 1-21. https://dhq.digitalhumanities.org/vol/5/1/000091/000091.html.

Grasso, Marco, Marilena Daquino, and Giulia Renda. 2024. "From Ontology Design to User Experience. A methodology to design interfaces for information seeking purposes." Umanistica Digitale 18: 53-85. http://doi.org/10.6092/issn.2532-8816/19038.

Hartig, Olaf. 2017. “Foundations of RDF* and SPARQL* (An Alternative Approach to Statement-Level Metadata in RDF).” In Proceedings of the 11th Alberto Mendelzon International Workshop on Foundations of Data Management and the Web. CEUR Workshop Proceedings 1912, edited by Juan Reutter and Divesh Srivastava. https://ceur-ws.org/Vol-1912/.

Joudrey, Daniel N., Arlene G. Taylor, and David P. Miller. 2015. Introduction to cataloging and classification. London: Bloomsbury Publishing.

Niccolucci, Franco, and Sorin Hermon.2017. "Expressing reliability with CIDOC CRM." International Journal on Digital Libraries 18 (4): 281-87. https://doi.org/10.1007/s00799-016-0195-1.

Olson, Hope A. 2013. The power to name: locating the limits of subject representation in libraries. Berlin: Springer Science & Business Media.

Springer, Aaron, and Steve Whittaker. 2019. "Progressive disclosure: empirically motivated approaches to designing effective transparency." In Proceedings of the 24th international conference on intelligent user interfaces, 107-20. https://doi.org/10.1145/3301275.3302322.

Whitelaw, Mitchell. 2015. "Generous interfaces for digital cultural collections." Digital Humanities Quarterly 9 (1). https://dhq.digitalhumanities.org/vol/9/1/000205/000205.html.

Zeng, Kaisheng, Chengjiang Li, Lei Hou, Juanzi Li, and Ling Feng. 2021. “A comprehensive survey of entity alignment for knowledge graphs.” AI Open 2: 1–13. https://doi.org/10.1016/j.aiopen.2021.02.002.


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