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.

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.

2020-05-26, Arndt, Susanne, Runnwerth, Mila

Presentation held at vBIB20.

2020, Martin, Paul, Liao, Xiaofeng, Magagna, Barbara, Stocker, Markus, Zhao, Zhiming, Zhao, Zhiming, Hellström, Margareta

The ENVRI Reference Model provides architects and engineers with the means to describe the architecture and operational behaviour of environmental and Earth science research infrastructures (RIs) in a standardised way using the standard terminology. This terminology and the relationships between specific classes of concept can be used as the basis for the machine-actionable specification of RIs or RI subsystems. Open Information Linking for Environmental RIs (OIL-E) is a framework for capturing architectural and design knowledge about environmental and Earth science RIs intended to help harmonise vocabulary, promote collaboration and identify common standards and technologies across different research infrastructure initiatives. At its heart is an ontology derived from the ENVRI Reference Model. Using this ontology, RI descriptions can be published as linked data, allowing discovery, querying and comparison using established Semantic Web technologies. It can also be used as an upper ontology by which to connect descriptions of RI entities (whether they be datasets, equipment, processes, etc.) that use other, more specific terminologies. The ENVRI Knowledge Base uses OIL-E to capture information about environmental and Earth science RIs in the ENVRI community for query and comparison. The Knowledge Base can be used to identify the technologies and standards used for particular activities and services and as a basis for evaluating research infrastructure subsystems and behaviours against certain criteria, such as compliance with the FAIR data principles.

2021, Lackner, Arthur, Fathalla, Said, Nayyeri, Mojtaba, Behrend, Andreas, Manthey, Rainer, Auer, Sören, Lehmann, Jens, Vahdati, Sahar

The publish or perish culture of scholarly communication results in quality and relevance to be are subordinate to quantity. Scientific events such as conferences play an important role in scholarly communication and knowledge exchange. Researchers in many fields, such as computer science, often need to search for events to publish their research results, establish connections for collaborations with other researchers and stay up to date with recent works. Researchers need to have a meta-research understanding of the quality of scientific events to publish in high-quality venues. However, there are many diverse and complex criteria to be explored for the evaluation of events. Thus, finding events with quality-related criteria becomes a time-consuming task for researchers and often results in an experience-based subjective evaluation. OpenResearch.org is a crowd-sourcing platform that provides features to explore previous and upcoming events of computer science, based on a knowledge graph. In this paper, we devise an ontology representing scientific events metadata. Furthermore, we introduce an analytical study of the evolution of Computer Science events leveraging the OpenResearch.org knowledge graph. We identify common characteristics of these events, formalize them, and combine them as a group of metrics. These metrics can be used by potential authors to identify high-quality events. On top of the improved ontology, we analyzed the metadata of renowned conferences in various computer science communities, such as VLDB, ISWC, ESWC, WIMS, and SEMANTiCS, in order to inspect their potential as event metrics.

2022-04-12, Tan, Mary Ann, Posthumus, Etienne, Sack, Harald

Cultural heritage portals often contain intangible objects digitized as audio files. This paper presents and discusses the adaptation of existing audio ontologies intended for non-cultural heritage applications. The resulting alignment of the German Digital Library-Europeana Data Model (DDB-EDM) with Music Ontology (MO) and Audio Commons Ontology (ACO) is presented.

2024, Walther, Tatiana, Rubach, Birte, Litvinov, Georgy

Obwohl auch kleinere Sammlungen - z. B. Graphiken, Karten oder andere Rarabestände - große historische Bedeutung haben können, fristen sie oftmals ein Dasein im Verborgenen; meist, weil es an technischen Ressourcen, Personal oder Fachwissen für die Erschließung fehlt. Die Verwendung offener Standards und Open-Source-Software bietet eine Chance, diese Bestände ans Tageslicht zu bringen. In diesem Vortrag möchten wir einen Überblick über die Schritte geben, die unternommen wurden, um die Sammlung für Fachleute und die Öffentlichkeit zugänglich zu machen. Das Material sollte nicht nur veröffentlicht, sondern auch die beschreibenden Metadaten nach den FAIR-Prinzipien verarbeitet werden. Ein zentraler Aspekt war dabei die Offenheit der verwendeten Software, Standards und Lizenzen; Software und Ontologie wurden unter freier Lizenz veröffentlicht und stehen zur Nachnutzung zur Verfügung. Die Sammlung Albrecht Haupt umfasst europäische Zeichnungen, Druckgraphiken und Monographien des 16.-19. Jhs. Ihr Besitzer A. Haupt (1852-1932) überließ sie im Jahr 1901 der Bibliothek der Technischen Hochschule Hannover, der Vorgängerin der Technischen Informationsbibliothek (TIB). Im von der DFG geförderten GESAH-Projekt wurde die Sammlung digitalisiert, erschlossen und 2023 auf https://sah.tib.eu veröffentlicht. Die offene Software und Linked-Data-Anwendung Vitro wurde als Erschließungsumgebung eingesetzt. Die von uns entwickelte GESAH Graphic Arts Ontology erlaubte Kunsthistoriker:innen, die Sammlungsobjekte in Übereinstimmung mit Linked-Open-Data-Prinzipien zu beschreiben. Die Sammlungsmetadaten wurden mit Verknüpfungen zu Art & Architecture Thesaurus (AAT), ICONCLASS, Gemeinsame Normdatei (GND) und Wikidata angereichert. Um die Nutzung und Darstellung der Sammlung auch in anderen Kontexten zu ermöglichen - z.B. via Export in Deutsche Digitale Bibliothek oder Graphikportal - wurde eine LIDO-Schnittstelle entwickelt.