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

Language: English

Published by BoD - Books on Demand, 2021

3754343696 / 9783754343692

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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. Sprache: Englisch Gewicht in Gramm: 464.

Title
Graph Data-Models and Semantic Web Technologies in Scholarly Digital Editing
Publisher
BoD - Books on Demand
Publication year
2021
Condition
Neu
Binding
Gebundene Ausgabe
Language
English
ISBN 10
3754343696
ISBN 13
9783754343692
Item weight
464 grams

Home-set

Mannheim, Germany

5-star seller

AbeBooks seller since April 13, 2026

Shipping rates from Germany to U.S.A.

Item10 to 12 business days8 to 10 business days
First itemUS$ 55.00US$ 82.66
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Home-set

Germany