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Data-rich Web Annotations. Embedding Datasets to Link Complex Metaphor Analyses with Their Textual Basis

Tögel, Philipp ORCID iD icon 1; Gebhard, Henning ; Dipper, Stefanie; Elwert, Frederik; Fedorov, Makar; Jha, Vandana ORCID iD icon 1; Krech, Volkhard; Tonne, Danah ORCID iD icon 1
1 Scientific Computing Center (SCC), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

Annotating is a central activity with a long history in the humanities. For the purpose of digital annotations, the Web Annotation Data Model (WADM) is an established W3C standard that enables data sharing and is supported by a wide array of applications. Storing simple annotations is quite easy, but storing complex data is difficult. We propose a generic extension mechanism for the WADM that allows storing structured data inside the body of a Web Annotation. In contrast to previous research, our proposal uses the base WADM without custom extensions (except for the embedded data themselves), and thus facilitates data sharing. As a use case, we show how a domain ontology is used to model structured information about metaphors in religious texts, and how we apply our approach to store the information in data-rich annotations that can be used for queries that support comparative research across languages.


Verlagsausgabe §
DOI: 10.5445/IR/1000183935
Veröffentlicht am 12.08.2025
Cover der Publikation
Zugehörige Institution(en) am KIT Scientific Computing Center (SCC)
Publikationstyp Proceedingsbeitrag
Publikationsdatum 08.08.2025
Sprache Englisch
Identifikator ISSN: 1613-0073
KITopen-ID: 1000183935
HGF-Programm 46.21.02 (POF IV, LK 01) Cross-Domain ATMLs and Research Groups
Erschienen in Proceedings of the Second International Workshop of Semantic Digital Humanities (SemDH 2025). Ed.: O. Bruns
Veranstaltung 2nd International Workshop of Semantic Digital Humanities (SemDH 2025), Portorož, Slowenien, 02.06.2025
Verlag CEUR-WS
Serie CEUR Workshop Proceedings ; 4009
Projektinformation SFB 1475, 441126958 (DFG, DFG KOORD, SFB 1475/INF)
Externe Relationen Abstract/Volltext
Forschungsdaten/Software
Schlagwörter Web Annotation, Metaphor Studies, Linked Open Data
Nachgewiesen in Scopus
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