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.
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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.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 224 pp. Englisch. Codice articolo 9783754343692
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Da: moluna, Greven, Germania
Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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. La. Codice articolo 516291520
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Da: AHA-BUCH GmbH, Einbeck, Germania
Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Codice articolo 9783754343692
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Da: preigu, Osnabrück, Germania
Buch. Condizione: Neu. Graph Data-Models and Semantic Web Technologies in Scholarly Digital Editing | Elena Spadini (u. a.) | Buch | Schriften des Instituts für Dokumentologie und Editorik | Englisch | 2021 | Books on Demand GmbH | EAN 9783754343692 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. Codice articolo 120683587
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