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Semantic Wrap and Personalized Recommendations for Digital Archives

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Complex, Intelligent and Software Intensive Systems (CISIS 2023)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 176))

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Abstract

Many efforts have been made in the Cultural Heritage field to build digital repositories based on standards for technological interoperability and for enriching the semantic content and the interconnection among the archived objects and with other repositories. The availability of standard APIs for linked information allows for the design and implementation of personalized recommendation systems, which are a relevant service for digital archives that aims at promoting the valorization of their content to visitors. In this paper, a prototype development of such a mechanism that is based on IIIF standards and IIIF-compliant open-source technologies is described.

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References

  1. Amato, A., Di Martino, B., Scialdone, M., Venticinque, S.: Adaptive recommendation to dynamically changing profiles for delivery of ubiquitous services. Int. J. Comput. Sci. Eng. 13(4), 322–332 (2016). https://doi.org/10.1504/IJCSE.2016.080209

    Article  Google Scholar 

  2. Dell’Erba, M., Fodor, O., Ricci, F., Werthner, H.: Harmonise: a solution for data interoperability. In: Monteiro, J.L., Swatman, P.M.C., Tavares, L.V. (eds.) Towards the Knowledge Society. ITIFIP, vol. 105, pp. 433–445. Springer, Boston, MA (2003). https://doi.org/10.1007/978-0-387-35617-4_28

    Chapter  Google Scholar 

  3. Doerr, M.: The CIDOC conceptual reference model (CRM) (2014). https://www.cidoc-crm.org

  4. ICCSI Group: Definition of the CIDOC conceptual reference model. Version 4.2 (2005). https://www.cidoc-crm.org/docs/cidoc_crm_version_4.2.pdf

  5. Pavlidis, G.: Recommender systems, cultural heritage applications, and the way forward. J. Cult. Heritage 35, 183–196 (2019). https://doi.org/10.1016/j.culher.2018.06.003. https://www.sciencedirect.com/science/article/pii/S1296207418302577. Modern and Contemporary Art

  6. Rajaonarivo, L., et al.: Recommendation of heterogeneous cultural heritage objects for the promotion of tourism. ISPRS Int. J. Geo-Inf. 8(5) (2019). https://doi.org/10.3390/ijgi8050230. https://www.mdpi.com/2220-9964/8/5/230

  7. Salton, G., Lesk, M.E.: Computer evaluation of indexing and text processing. J. ACM 15(1), 8–36 (1968)

    Article  MATH  Google Scholar 

  8. Weibel, S.L., Koch, T.: The Dublin core metadata initiative. Mission, current activities, and future directions. D-Lib Mag. 6(12) (2000)

    Google Scholar 

  9. Wolpers, M., Memmel, M., Stefaner, M.: Supporting architecture education using the mace system. Int. J. Technol. Enhanced Learn. 2(1–2), 132–144 (2010). https://doi.org/10.1504/IJTEL.2010.031264

    Article  Google Scholar 

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Acknowledgement

This work is supported by the Cleopatra Project, funded by the University of Campania “Luigi Vanvitelli” through the VALERE 2019 research program.

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Correspondence to Salvatore Venticinque .

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Amato, A., Aversa, R., Branco, D., Venticinque, S. (2023). Semantic Wrap and Personalized Recommendations for Digital Archives. In: Barolli, L. (eds) Complex, Intelligent and Software Intensive Systems. CISIS 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 176. Springer, Cham. https://doi.org/10.1007/978-3-031-35734-3_30

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