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search.filters.applied.f.access: openAccess × Has files: Yes × Publisher: Aachen, Germany : RWTH Aachen × Subject: Cultural Heritage × Subject: Knowledge Graphs × Subject: Konferenzschrift ×

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Now showing 1 - 2 of 2
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    A Data Model for Linked Stage Graph and the Historical Performing Arts Domain
    (Aachen, Germany : RWTH Aachen, 2023) Tietz, Tabea; Bruns, Oleksandra; Sack, Harald; Bikakis, Antonis; Ferrario, Roberta; Jean, Stéphane; Markhoff, Béatrice; Mosca, Alessandro; Nicolosi Asmundo, Marianna
    The performing arts are complex, dynamic and embedded into societal and political systems. Providing means to research historical performing arts data is therefore crucial for understanding our history and culture. However, currently no commonly accepted ontology for historical performing arts data exists. On the example of the Linked Stage Graph, this position paper presents the ongoing process of creating an application-driven and efficient data model by leveraging and building upon existing standards and ontologies like CIDOC-CRM, FRBR, and FRBRoo.
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    Knowledge Graph enabled Curation and Exploration of Nuremberg's City Heritage
    (Aachen, Germany : RWTH Aachen, 2021) Tietz, Tabea; Bruns, Oleksandra; Göller, Sandra; Razum, Matthias; Dessì, Danilo; Sack, Harald; Paschke, Adrian; Rehm, Georg; Al Qundus, Jamal; Neudecker, Clemens; Pintscher, Lydia
    An important part in European cultural identity relies on European cities and in particular on their histories and cultural heritage. Nuremberg, the home of important artists such as Albrecht Dürer and Hans Sachs developed into the epitome of German and European culture already during the Middle Ages. Throughout history, the city experienced a number of transformations, especially with its almost complete destruction during World War 2. This position paper presents TRANSRAZ, a project with the goal to recreate Nuremberg by means of an interactive 3D tool to explore the city's architecture and culture ranging from the 17th to the 21st century. The goal of this position paper is to discuss the ongoing work of connecting heterogeneous historical data from various sources previously hidden in archives to the 3D model using knowledge graphs for a scientifically accurate interactive exploration on the Web.