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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA)
Câmara, A., de Almeida, A. & Oliveira, J. (2023). Versioning: Representing cultural heritage evidences on CIDOC-CRM via a case study. In Proceedings of International Conference on Information Technology and Applications. Lecture Notes in Networks and Systems. (pp. 363-371). Lisboa: Springer.
Exportar Referência (IEEE)
A. Câmara et al.,  "Versioning: Representing cultural heritage evidences on CIDOC-CRM via a case study", in Proc. of Int. Conf. on Information Technology and Applications. Lecture Notes in Networks and Systems, Lisboa, Springer, 2023, pp. 363-371
Exportar BibTeX
@inproceedings{câmara2023_1729142247336,
	author = "Câmara, A. and de Almeida, A. and Oliveira, J.",
	title = "Versioning: Representing cultural heritage evidences on CIDOC-CRM via a case study",
	booktitle = "Proceedings of International Conference on Information Technology and Applications. Lecture Notes in Networks and Systems",
	year = "2023",
	editor = "",
	volume = "",
	number = "",
	series = "",
	doi = "10.1007/978-981-19-9331-2_31",
	pages = "363-371",
	publisher = "Springer",
	address = "Lisboa",
	organization = "",
	url = "https://link.springer.com/chapter/10.1007/978-981-19-9331-2_31#citeas"
}
Exportar RIS
TY  - CPAPER
TI  - Versioning: Representing cultural heritage evidences on CIDOC-CRM via a case study
T2  - Proceedings of International Conference on Information Technology and Applications. Lecture Notes in Networks and Systems
AU  - Câmara, A.
AU  - de Almeida, A.
AU  - Oliveira, J.
PY  - 2023
SP  - 363-371
DO  - 10.1007/978-981-19-9331-2_31
CY  - Lisboa
UR  - https://link.springer.com/chapter/10.1007/978-981-19-9331-2_31#citeas
AB  - 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.
ER  -