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DaCENA: Serendipitous News Reading with Data Contexts

Authors :
Matteo Palmonari
Marco Cremaschi
Daniele Ciminieri
Giorgio Uboldi
Federico Bianchi
Gandon, F
Guéret, C
Villata, S
Breslin, J
Faron-Zucker, C
Zimmermann, A
Palmonari, M
Uboldi, G
Cremaschi, M
Ciminieri, D
Bianchi, F
Source :
The Semantic Web: ESWC 2015 Satellite Events ISBN: 9783319256382, ESWC (Satellite Events)
Publication Year :
2015
Publisher :
Springer International Publishing, 2015.

Abstract

DaCENA (Data Context for News Articles) is a web application that showcases a new approach to reading online news articles with the support of a data context built from interlinked facts available on the Web of Data. Given a source article, a set of facts that are estimated to be more interesting for the readers are extracted from the Web and presented using tailored information visualization methods and an interactive user interface. By looking at this background factual knowledge, the reader is supported in the interpretation of the news content and is suggested connections to related topics that he/she can further explore.

Details

ISBN :
978-3-319-25638-2
ISBNs :
9783319256382
Database :
OpenAIRE
Journal :
The Semantic Web: ESWC 2015 Satellite Events ISBN: 9783319256382, ESWC (Satellite Events)
Accession number :
edsair.doi.dedup.....4a73987dab4d9099db2da75053a6af27