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.
Palmonari, M., Uboldi, G., Cremaschi, M., Ciminieri, D., Bianchi, F. (2015). DaCENA: Serendipitous news reading with data contexts. In Revised Selected Papers - The Semantic Web: ESWC 2015 Satellite Events. Portoroz, Slovenia, May 31-June 4, 2015. (pp.133-137). Springer Verlag [10.1007/978-3-319-25639-9_26].
DaCENA: Serendipitous news reading with data contexts
PALMONARI, MATTEO LUIGI
Primo
;CREMASCHI, MARCO;BIANCHI, FEDERICO
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.
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