Vol. 16 No. 1 (2025)
Articles

CLEF 2.0. Solutions for Native Linked Data Cataloguing of Italian Digital Cultural Heritage

Italian PDF
  • Sebastiano Giacomini,
  • Marilena Daquino,
  • Francesca Tomasi,
  • Laurent Antoine Fintoni
Sebastiano Giacomini
Alma Mater Studiorum University of Bologna
Marilena Daquino
Alma Mater Studiorum University of Bologna
Francesca Tomasi
Alma Mater Studiorum University of Bologna
Laurent Antoine Fintoni
Alma Mater Studiorum University of Bologna
DOI: https://doi.org/10.36253/jlis.it-611
Categories

Published 2025-01-14

Keywords

  • Crowdsourcing,
  • Cataloguing,
  • Linked Open Data,
  • Cultural Heritage.

How to Cite

Giacomini, Sebastiano, Marilena Daquino, Francesca Tomasi, and Laurent Antoine Fintoni. 2025. “CLEF 2.0. Solutions for Native Linked Data Cataloguing of Italian Digital Cultural Heritage”. JLIS.It 16 (1):108-26. https://doi.org/10.36253/jlis.it-611.

Copyright (c) 2024 Sebastiano Giacomini, Marilena Daquino, Francesca Tomasi, Laurent Antoine Fintoni

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Crossref
Scopus
Google Scholar
Europe PMC

Abstract

The Semantic Web had a significant impact on the GLAM domain, where the need to connect knowledge has grown so important that it has sparked numerous crowdsourcing initiatives and collaborative native Linked Open Data cataloguing projects. One of the key challenges in facing these collaborative activities is the heterogeneity of content and levels of expertise among users. While existing solutions can meet several important requirements, developing new features is often affected by the practical use of such platforms in real-world work settings. This article explores novel demands and presents the solution proposed by CLEF 2.0, the native Linked Open Data cataloguing software adopted in various case studies concerning the description of Italian Digital Cultural Heritage.

Italian PDF

Metrics

Metrics Loading ...

References

  1. Angjeli, Anila, Andrew MacEwan, e Vincent Boulet. 2014. “ISNI and VIAF – Transforming Ways of Trustfully Consolidating Identities.” https://doi.org/10.13140/RG.2.1.1350.8640.
  2. Davis, Edie, e Bahareh Heravi. 2021. “Linked Data and Cultural Heritage.” Journal on Computing and Cultural Heritage 14 (2): 1-18. https://doi.org/10.1145/3429458. DOI: https://doi.org/10.1145/3429458
  3. Daga, Enrico, Luigi Asprino, Paul Mulholland, e Aldo Gangemi. 2021. “Facade-X: An Opinionated Approach to SPARQL Anything.” Studies on the Semantic Web 53: 58-73. https://doi.org/10.3233/ssw210035. DOI: https://doi.org/10.3233/SSW210035
  4. Daquino, Marilena. 2021. “Linked Open Data Native Cataloguing and Archival Description.” JLIS.it 12 (3): 91-104. https://doi.org/10.4403/jlis.it-12703.
  5. Daquino, Marilena, Mari Wigham, Enrico Daga, Lucia Giagnolini, and Francesca Tomasi. 2023. “CLEF. A Linked Open Data Native System for Crowdsourcing.” Journal on Computing and Cultural Heritage. Association for Computing Machinery (ACM). https://doi.org/10.1145/ 3594721.
  6. Diefenbach, Dennis, Max De Wilde, e Samantha Alipio. “Wikibase as an Infrastructure for Knowledge Graphs: The EU Knowledge Graph.” In The Semantic Web – ISWC 2021, a cura di Andreas Hotho, Eva Blomqvist, Stefan Dietze, Achille Fokoue, Ying Ding, Payam Barnaghi, Armin Haller, Mauro Dragoni, e Harith Alani, 12922: 631–47. Cham: Springer International Publishing, 2021. https://doi.org/10.1007/978-3-030-88361-4_37. DOI: https://doi.org/10.1007/978-3-030-88361-4_37
  7. Hawkins, Ashleigh. “Archives, Linked Data and the Digital Humanities: Increasing Access to Digitised and Born-Digital Archives via the Semantic Web.” Archival Science 22 (3): 319–44. https://doi.org/10.1007/s10502-021-09381-0. DOI: https://doi.org/10.1007/s10502-021-09381-0
  8. Hermon, Sorin, e Franco Niccolucci. 2021. “FAIR Data and Cultural Heritage Special Issue Editorial Note.” International Journal on Digital Libraries 22 (3): 251-55. https://doi.org/10.1007/ s00799021-00309-8. DOI: https://doi.org/10.1007/s00799-021-00309-8
  9. Marden, Julia, Carolyn Li-Madeo, Noreen Whysel, e Jeffrey Edelstein. “Linked Open Data for Cultural Heritage: Evolution of an Information Technology.” In Proceedings of the 31st ACM International Conference on Design of Communication, 107–12. Greenville, North Carolina (USA): Association for Computing Machinery, 2013. https://doi.org/10.1145/2507065.2507103. DOI: https://doi.org/10.1145/2507065.2507103
  10. Mitchell, Sonia Natalie, Andrew Lahiff, Nathan Cummings, Jonathan Hollocombe, Bram Boskamp, Ryan Field, Dennis Reddyhoff, Kristian Zarebski, Antony Wilson, Bruno Viola, Martin Burke, Archibald Blair, Paul Bessell, Richard Blackwell, Lisa A. Boden, Alys Brett, Sam Brett, Ruth Dundas, Jessica Enright, Alejandra N. Gonzalez-Beltran, Claire Harris, Ian Hinder, Christopher David Hughes, Martin Knight, Vino Mano, Ciaran McMonagle, Dominic Mellor, Sibylle Mohr, Glenn Marion, Louise Matthews, Iain J. McKendrick, Christopher Mark Pooley, Thibaud Porphyre, Aaron Reeves, Edward Townsend, Robert Turner, Jeremy Walton, e Richard Reeve. 2022. “FAIR Data Pipeline: Provenance-Driven Data Management for Traceable Scientific Workflows. ”Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 380 (2233): 1-23. https://doi.org/10.1098/rsta.2021.0300. DOI: https://doi.org/10.1098/rsta.2021.0300
  11. O’Hara, Kieron, Harith Alani, Yannis Kalfoglou, e Nigel Shadbolt. 2004. “Trust Strategies for the Semantic Web.” In Workshop on Trust, Security, and Reputation on the Semantic Web, 3rd International Semantic Web Conference (ISWC04), 7-11 November 2004, Hiroshima Prince Hotel, Hiroshima, Japan. https://ceur-ws.org/Vol-127/paper5.pdf.
  12. Oldman, Dominic, e Diana Tanase. 2018. “Reshaping the Knowledge Graph by Connecting Researchers, Data and Practices in ResearchSpace.” In The Semantic Web – ISWC 2018, a cura di Denny Vrandečić, Kalina Bontcheva, Mari Carmen Suárez-Figueroa, Valentina Presutti, Irene Celino, Marta Sabou, Lucie-Aimée Kaffee, e Elena Simperl, 11137: 325–40. Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-00668-6_20. DOI: https://doi.org/10.1007/978-3-030-00668-6_20
  13. Pellegrino, Maria Angela, Vittorio Scarano, e Carmine Spagnuolo. 2022. “Move Cultural Heritage Knowledge Graphs in Everyone’s Pocket.” Semantic Web 14 (2): 323-59. https://doi.org/10.3233/sw-223117. DOI: https://doi.org/10.3233/SW-223117
  14. Poblet, Marta, Pompeu Casanovas, e Víctor Rodríguez-Doncel. 2019. Linked Democracy: Foundations, Tools, and Applications. Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-13363-4. DOI: https://doi.org/10.1007/978-3-030-13363-4
  15. Regino, André Gomes, e Julio Cesar Dos Reis. 2022. “Leveraging Linked Open Data: A Link Maintenance Framework.” In Anais Estendidos Do XXVIII Simpósio Brasileiro de Sistemas Multimídia e Web (WebMedia 2022), 15–18. Curitiba: Sociedade Brasileira de Computação. https://doi.org/ 10.5753/webmedia_estendido.2022.225651. DOI: https://doi.org/10.5753/webmedia_estendido.2022.225651
  16. Sarasua, Cristina, Elena Simperl, Natasha F. Noy, Abraham Bernstein, e Jan Marco Leimeister. 2015. “Crowdsourcing and the Semantic Web: A Research Manifesto.” Human Computation 2 (1): 3-17. https://doi.org/10.15346/hc.v2i1.2. DOI: https://doi.org/10.15346/hc.v2i1.2
  17. Thanos, Costantino. 2017. “Research Data Reusability: Conceptual Foundations, Barriers and Enabling Technologies.” Publications 5 (1): 1-19. https://doi.org/10.3390/publications5010002. DOI: https://doi.org/10.3390/publications5010002
  18. Tomasi, Francesca. 2023. “Archival Finding Aids in Linked Open Data Between Description and Interpretation.” JLIS.it 14 (3): 134-46. https://doi.org/10.36253/jlis.it-557. DOI: https://doi.org/10.36253/jlis.it-557
  19. Van Veen, Theo. 2019. “Wikidata: From ‘an’ Identifier to ‘the’ Identifier.” Information Technology and Libraries 38 (2): 72–81. https://doi.org/10.6017/ital.v38i2.10886. DOI: https://doi.org/10.6017/ital.v38i2.10886
  20. Wilkinson, Mark D., Michel Dumontier, IJsbrand Jan Aalbersberg, Gabrielle Appleton, Myles Axton, Arie Baak, Niklas Blomberg, Jan-Willem Boiten, Luiz Bonino da Silva Santos, Philip E. Bourne, Jildau Bouwman, Anthony J. Brookes, Tim Clark, Mercè Crosas, Ingrid Dillo, Olivier Dumon, Scott Edmunds, Chris T. Evelo, Richard Finkers, Alejandra Gonzalez-Beltran, Alasdair J.G. Gray, Paul Groth, Carole Goble, Jeffrey S. Grethe, Jaap Heringa, Peter A.C ’t Hoen, Rob Hooft, Tobias Kuhn, Ruben Kok, Joost Kok, Scott J. Lusher, Maryann E. Martone, Albert Mons, Abel L. Packer, Bengt Persson, Philippe Rocca-Serra, Marco Roos, Rene van Schaik, Susanna-Assunta Sansone, Erik Schultes, Thierry Sengstag, Ted Slater, George Strawn, Morris A. Swertz, Mark Thompson, Johan van der Lei, Erik van Mulligen, Jan Velterop, Andra Waagmeester, Peter Wittenburg, Katherine Wolstencroft, Jun Zhao, e Barend Mons. 2016. “The FAIR Guiding Principles for Scientific Data Management and Stewardship.” Scientific Data 3 (1): 1–9. https://doi.org/10.1038/sdata.2016.18. DOI: https://doi.org/10.1038/sdata.2016.18
  21. Zaytseva, Ksenia, e Matej Ďurčo. 2020. Controlled Vocabularies and SKOS. https://campus. dariah.eu/id/D8d6OrLdpLlGRqBSQDVN0.

Similar Articles

<< < 1 2 3 4 5 6 7 8 9 10 > >> 

You may also start an advanced similarity search for this article.