Understanding the elements that allow the recognition of archaeologi￾cal 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 represent versioning data about archaeological heritage dolmens using the CIDOC-CRM model as a basis. The versioning schema will work as a database model for the development of a knowledge-graph to aid with automatized 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.

This work was partially supported by the Fundação para a Ciência e a Tecnologia, I.P. (FCT) through the ISTAR-Iscte project UIDB/04466/2020 and UIDP/04466/2020, through the scholarship UI/BD/151495/2021.

archaeological structures,versioning,CIDOC-CRM,knowledge￾graph,event-driven model