ABSTRACT:The workgroup for Digital Reconstruction of the Digital Humanities in the German-speaking area association (Digital Humanities im deutschsprachigen Raum e.V.) was founded in 2014 as cross-disciplinary scientific society dealing with all aspects of digital reconstruction of cultural heritage and currently involves more than 40 German researchers. Moreover, the workgroup is dedicated to synchronise and foster methodological research for these topics. As one preliminary result a memorandum was created to name urgent research challenges and prospects in a condensed way and assemble a research agenda which could propose demands for further research and development activities within the next years. The version presented within this paper was originally created as a contribution to the so-called agenda development process initiated by the German Federal Ministry of Education and Research (BMBF) in 2014 and has been amended during a joint meeting of the digital reconstruction workgroup in November 2014.

No abstract

No abstract

It is common for cultural heritage applications to use spatial and/or spectral data for documentation, analysis and visualization. Knowledge of data requirements coming from the cultural heritage application and technical alternatives to generate the required data, based on object characteristics and other influential factors, pave the way for the optimal selection of a recording technology. It is a collaborative process, requiring the knowledge of experts both from cultural heritage domains and from technical domains. Currently, this knowledge is structured and stored in an ontology (so-called COSCH KR ). Its purpose is to support CH experts who are not familiar with technologies by prescribing an optimal spatial or spectral recording strategy adapted to the physical characteristics of the cultural heritage object and the data requirements of the targeted CH application. The creation of digital 3D reconstructed models for analysis and visualization purposes is becoming more and more common in humanities disciplines. Therefore, an implementation of the mechanisms involved in visualization applications into this ontology would have huge benefits in creating a powerful recommendation solution. Illustrating the overall structure of COSCH KR , this paper addresses and discusses challenges in structuring the processes of cultural heritage visualization and implementing these into the ontology. Key words:Ontology, facts and hypothesis, inference, cultural heritage, data processing SDH Reference:Stefanie Wefers et al. 2017. Digital 3D reconstructed models: Using semantic technologies for recommendations in visualization applications. SDH, 1, 2, 537-546.

No abstract