Laura Raddatz's research while affiliated with Hochschule Mainz and other places
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Publications (3)
![Figure 24. Video of 42129 woman and boy 40531 woman and boy by [130]...](publication/370041085/figure/fig5/AS:11431281147012291@1681577443890/Video-of-42129-woman-and-boy-40531-woman-and-boy-by-130-Part-I-available-at_Q320.jpg)
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 rese...
Motivated by the increased use of 3D acquisition of objects by cultural heritage institutions, we were investigating ontologies and metadata schemes for the acquisition process to provide details about the 3D capturing, which can be combined with preexisting ontologies describing an object. Therefore we divided the 3D capturing workflow into common...
Imaging techniques were used to document and monitor physical damage to the unique wall paintings at the Château de Germolles, Burgundy, France. Photogrammetry combined with scanning are the most appropriate techniques to monitor the evolution of microcrack networks in the cornice overhanging the paintings and preserved as a witness to 19th century...
Citations
... Thus the acquisition history inevitably tackles ethical issues, thus being related to the CARE principles. This requires a historical investigation of the provenance and a critical debate about this research data [9]. The previous practice of recording ARS pottery and its decoration involved photographs and drawings in analogue publications [4] (Figures 2 , 3). ...
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... 1. Geometric capturing [5], [9], [12] by standardised 3D digitalisation workflows, e.g. using a structured light projection scanner and a camera to compute a textured model ( Figure 4); this is addressed by N4O TA1 for Documentation and N4C. This process is accompanied by documenting the 3D capturing and processing metadata in an ontology [13]. 2. Semantic (meta) data modelling ( Figure 5) by community standards, ontologies (e.g., CIDOC CRM, PROV-O) and controlled vocabularies [9]. ...
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