In this paper, we introduce Linked Open Data (LOD) in the archaeological domain as a means to connect dispersed data sources and enable cross-querying. The technology behind the design principles and how LOD can be created and published is described to enable less-familiar researchers to understand the presented benefits and drawbacks of LOD. Wikidata is introduced as an open knowledge hub for the creation and dissemination of LOD. Different actors within archaeology have implemented LOD, and we present which challenges have been and are being addressed. A selection of projects showcases how Wikidata is being used by archaeologists to enrich and open their databases to the general public. With this paper, we aim to encourage the creation and re-use of LOD in archaeology, as we believe it offers an improvement on current data publishing practices.

In this paper, we introduce applications of Artificial Intelligence techniques, such as Decision Trees and Semantic Reasoning, for semi-automatic and semantic-model-based decision-making for archaeological feature comparisons. This paper uses the example of Roman African Red Slip Ware (ARS) and the collection of ARS at the LEIZA archaeological research institute. The main challenge is to create a Digital Twin of the ARS objects and artefacts using geometric capturing and semantic modelling of archaeological information. Moreover, the individualisation and comparison of features (appliqués), along with their visualisation, extraction, and rectification, results in a strategy and application for comparison of these features using both geometrical and archaeological aspects with a comprehensible rule set. This method of a semi-automatic semantic model-based comparison workflow for archaeological features on Roman ceramics is showcased, discussed, and concluded in three use cases: woman and boy, human–horse hybrid, and bears with local twists and shifts.