Search Results
DDB-KG: The German Bibliographic Heritage in a Knowledge Graph
2021, Tan, Mary Ann, Tietz, Tabea, Bruns, Oleksandra, Oppenlaender, Jonas, Dessì, Danilo, Harald, Sack, Sumikawa, Yasunobu, Ikejiri, Ryohei, Doucet, Antoine, Pfanzelter, Eva, Hasanuzzaman, Mohammed, Dias, Gaël, Milligan, Ian, Jatowt, Adam
Under the German government’s initiative “NEUSTART Kultur”, the German Digital Library or Deutsche Digitale Bibliothek (DDB) is undergoing improvements to enhance user-experience. As an initial step, emphasis is placed on creating a knowledge graph from the bibliographic record collection of the DDB. This paper discusses the challenges facing the DDB in terms of retrieval and the solutions in addressing them. In particular, limitations of the current data model or ontology to represent bibliographic metadata is analyzed through concrete examples. This study presents the complete ontological mapping from DDB-Europeana Data Model (DDB-EDM) to FaBiO, and a prototype of the DDB-KG made available as a SPARQL endpoint. The suitabiliy of the target ontology is demonstrated with SPARQL queries formulated from competency questions.
DDB-EDM to FaBiO: The Case of the German Digital Library
2021, Tan, Mary Ann, Tietz, Tabea, Bruns, Oleksandra, Oppenlaender, Jonas, Dessì, Danilo, Sack, Harald, Seneviratne, Oshani, Pesquita, Catia, Sequeda, Juan, Etcheverry, Lorena
Cultural heritage portals have the goal of providing users with seamless access to all their resources. This paper introduces initial efforts for a user-oriented restructuring of the German Digital Library (DDB). At present, cultural heritage objects (CHOs) in the DDB are modeled using an extended version of the Europeana Data Model (DDBEDM), which negatively impacts usability and exploration. These challenges can be addressed by leveraging ontologies, and building a knowledge graph from the DDB's voluminous collection. Towards this goal, an alignment of bibliographic metadata from DDB-EDM to FRBR-Aligned Bibliographic Ontology (FaBiO) is presented.
A Data Model for Linked Stage Graph and the Historical Performing Arts Domain
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.
Towards a Representation of Temporal Data in Archival Records: Use Cases and Requirements
2021, Bruns, Oleksandra, Tietz, Tabea, Vafaie, Mahsa, Dessì, Danilo, Sack, Harald, Lopes, Carla Teixeira, Ribeiro, Cristina, Niccolucci, Franco, Rodrigues, Irene, Freire, Nuno
Archival records are essential sources of information for historians and digital humanists to understand history. For modern information systems they are often analysed and integrated into Knowledge Graphs for better access, interoperability and re-use. However, due to restrictions of the representation of RDF predicates temporal data within archival records is a challenge to model. This position paper explains requirements for modeling temporal data in archival records based on running research projects in which archival records are analysed and integrated in Knowledge Graphs for research and exploration.
Knowledge Extraction for Art History: the Case of Vasari’s The Lives of The Artists (1568)
2022, Santini, Cristian, Tan, Mary Ann, Tietz, Tabea, Bruns, Oleksandra, Posthumus, Etienne, Sack, Harald, Paschke, Adrian, Rehm, Georg, Neudecker, Clemens, Pintscher, Lydia
Knowledge Extraction (KE) techniques are used to convert unstructured information present in texts to Knowledge Graphs (KGs) which can be queried and explored. Despite their potential for cultural heritage domains, such as Art History, these techniques often encounter limitations if applied to domain-specific data. In this paper we present the main challenges that KE has to face on art-historical texts, by using as case study Giorgio Vasari's The Lives of The Artists. This paper discusses the following NLP tasks for art-historical texts, namely entity recognition and linking, coreference resolution, time extraction, motif extraction and artwork extraction. Several strategies to annotate art-historical data for these tasks and evaluate NLP models are also proposed.
Knowledge Graph enabled Curation and Exploration of Nuremberg's City Heritage
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.