Graph Data-Models and Semantic Web Technologies in Scholarly Digital Editing
Download or Read eBook Graph Data-Models and Semantic Web Technologies in Scholarly Digital Editing PDF written by Elena Spadini and published by BoD – Books on Demand. This book was released on 2021-10-06 with total page 226 pages. Available in PDF, EPUB and Kindle.
| Author | : Elena Spadini |
| Publisher | : BoD – Books on Demand |
| Total Pages | : 226 |
| Release | : 2021-10-06 |
| ISBN-10 | : 9783754343692 |
| ISBN-13 | : 3754343696 |
| Rating | : 4/5 (92 Downloads) |
Book Synopsis Graph Data-Models and Semantic Web Technologies in Scholarly Digital Editing by : Elena Spadini
Book excerpt: 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.
