Please use this identifier to cite or link to this item:
http://hdl.handle.net/10071/31797
Author(s): | Câmara, A. de Almeida, A. Oliveira, J. |
Editor: | Sajid Anwar Abrar Ullah Álvaro Rocha Maria José Sousa |
Date: | 2023 |
Title: | Versioning: Representing cultural heritage evidences on CIDOC-CRM via a case study |
Book title/volume: | Proceedings of International Conference on Information Technology and Applications. Lecture Notes in Networks and Systems |
Pages: | 363 - 371 |
Event title: | 16th International Conference on Information Technology and Applications, ICITA 2022 |
Reference: | Câmara, A., de Almeida, A., Oliveira, J. (2023). Versioning: Representing cultural heritage evidences on CIDOC-CRM via a case study. In S. Anwar, A. Ullah, A. Rocha, Sousa, M.J. (Eds) Proceedings of International Conference on Information Technology and Applications. Lecture Notes in Networks and Systems, (vol 614, pp. 363-371). Springer. https://doi.org/10.1007/978-981-19-9331-2_31 |
ISBN: | 978-981-19-9331-2 |
DOI (Digital Object Identifier): | 10.1007/978-981-19-9331-2_31 |
Keywords: | Archaeological structures Versioning CIDOC-CRM Knowledge graph Event-driven model |
Abstract: | Understanding the elements that allow the recognition of archaeological structures is an essential task for the identification of cultural heritage. On the other hand, recording these elements is necessary for the historical study, evolution, and recognition of these types of structures. One of the challenges presented for digital representation of this information and knowledge relates with the fact that there are results from different surveys and records on the status of the same monument, that can be considered as separate versions of knowledge. In this paper, we describe a schema to rep-resent versioning data about archaeological heritage dolmens using the CIDOC-CRM model as a basis. The versioning schema will work as a data-base model for the development of a knowledge-graph to aid with automa-tized dolmen recognition in images. The intended model efficiently stores and retrieves event-driven data, exposing how each update creates a new “version” of a new event. An event-driven model based on versioning data makes it possible to perform comparisons of versions produced at different times or people and allows for the creation of complex version chains and trees. |
Peerreviewed: | yes |
Access type: | Open Access |
Appears in Collections: | ISTAR-CRI - Comunicações a conferências internacionais |
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conferenceObject_104240.pdf | 325,43 kB | Adobe PDF | View/Open |
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