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Comparative Analysis of Ontologies for Archival Representation

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Advanced Information Networking and Applications (AINA 2024)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 204))

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Abstract

Ontologies are valuable tools for structuring and organizing knowledge, improving communication and data integration, enhancing information retrieval and search, and supporting various applications in different fields. They play a crucial role in promoting shared understanding and knowledge management in complex and information-rich domains. An examination of the initiatives conducted over the past decade in the field of cultural heritage has clearly highlighted the lack of an established framework in the conceptual modeling of information resources, despite the numerous ontologies created as a function of the many projects for the publication of linked open data. As a result, it is far from easy to know exhaustively all the ontologies available in relation to one’s field of interest and to obtain in an easy and systematic way a reliable assessment about their representative capacity and their degree of semantic interoperability.

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Notes

  1. 1.

    http://arco.istc.cnr.it:8081/ontologies.

  2. 2.

    https://cidoc-crm.org/.

  3. 3.

    https://pro.europeana.eu/page/edm-documentation.

  4. 4.

    https://www.ica.org/standards/RiC.html.

  5. 5.

    https://www.loc.gov/standards/mods/modsrdf-primer.html.

  6. 6.

    https://www.loc.gov/standards/mods/modsrdf/.

  7. 7.

    http://www.san.beniculturali.it/web/san/dati-san-lod.

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Acknowledgements

The work described in this paper has been supported by the research project RASTA: Realtá Aumentata e Story-Telling Automatizzato per la valorizzazione di Beni Culturali ed Itinerari; Italian MUR PON Proj. ARS01 00540.

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Authors and Affiliations

  1. University of Campania “Luigi Vanvitelli”, Department of Political Science, Caserta, Italy

    Alba Amato & Giuseppe Cirillo

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  1. Alba Amato
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  2. Giuseppe Cirillo
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Correspondence to Alba Amato .

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Editors and Affiliations

  1. Department of Information and Communication Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

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Amato, A., Cirillo, G. (2024). Comparative Analysis of Ontologies for Archival Representation. In: Barolli, L. (eds) Advanced Information Networking and Applications. AINA 2024. Lecture Notes on Data Engineering and Communications Technologies, vol 204. Springer, Cham. https://doi.org/10.1007/978-3-031-57942-4_2

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