Graph Data-Models and Semantic Web Technologies in Scholarly Digital Editing

Buch | Hardcover
224 Seiten
2021
BoD – Books on Demand (Verlag)
978-3-7543-4369-2 (ISBN)

Lese- und Medienproben

Graph Data-Models and Semantic Web Technologies in Scholarly Digital Editing -
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In scholarly digital editing, the established practice for semantically enriching digital texts is to add markup to a linear string of characters. Graph data-models provide an alternative approach, which is increasingly being given serious consideration. Labelled-property-graph databases, and the W3c's semantic web recommendation and associated standards (RDF and OWL) are powerful and flexible solutions to many of the problems that come with embedded markup. This volume explores the combination of scholarly digital editions, the graph data-model, and the semantic web from three perspectives: infrastructures and technologies, formal models, and projects and editions.

Elena Spadini is a postdoctoral researcher at the University of Lausanne (Switzerland). She holds a Ph.D. in Romance Philology from the University of Rome Sapienza (2016) and a M.A. in Digital Humanities from the École nationale des chartes (2014).

Francesca Tomasi is associate professor in Archival Science, Bibliography and Librarianship at the University of Bologna (Italy), President of the Library of the School of Humanities in the University of Bologna (BDU - Biblioteca di Discipline Umanistiche), Director of the international second cycle degree in Digital Humanities and Digital Knowledge (DHDK), President of the Italian Association of Digital Humanities (AIUCD - Associazione per l'Informatica Umanistica e la Cultura Digitale), and co-head of the Digital Humanities Advanced Research Center (/DH.ARC).

Georg Vogeler is professor for Digital Humanities at the University of Graz and scientific director of the Austrian Center for Digital Humanities and Cultural Heritage at the Austrian Academy of Sciences.

Erscheinungsdatum
Reihe/Serie Schriften des Instituts für Dokumentologie und Editorik ; 15
Sprache englisch
Maße 160 x 226 mm
Gewicht 513 g
Themenwelt Geisteswissenschaften Sprach- / Literaturwissenschaft Sprachwissenschaft
Informatik Datenbanken Data Warehouse / Data Mining
Schlagworte Digital Editing • Graph models • Scholarly Editing • semantic web • text theory
ISBN-10 3-7543-4369-6 / 3754343696
ISBN-13 978-3-7543-4369-2 / 9783754343692
Zustand Neuware
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