We present an approach that leverages on the knowledge present on the Web for identifying and enriching relevant items inside a News video and displaying them in a timely and user friendly fashion. This second screen prototype (i) collects and offers information about persons, locations, organizations and concepts occurring in the newscast, and (ii) combines them for enriching the underlying story along five main dimensions: expert's opinions, timeline, in depth, in other sources, and geo-localized comments from other viewers. Starting from preliminary insights coming from the named entities spotted on the subtitles, we expand this initial context to a broader event representation by relying in the knowledge of other Web documents talking about the same fact. An online demo of the proposed solution is available at http://www.linkedtv.project.cwi.nl/news/.
Augmenting TV newscasts via entity expansion
ESWC 2014, 11th Extended Semantic Web Conference, Demos Track, vol. CCIS 476, May 25-29, 2014, Anissaras, Crete / Also published in LNCS 8798/2014
Type:
Poster / Demo
City:
Anissaras
Date:
2014-05-25
Department:
Data Science
Eurecom Ref:
4404
Copyright:
© Springer. Personal use of this material is permitted. The definitive version of this paper was published in ESWC 2014, 11th Extended Semantic Web Conference, Demos Track, vol. CCIS 476, May 25-29, 2014, Anissaras, Crete / Also published in LNCS 8798/2014 and is available at : http://dx.doi.org/10.1007/978-3-319-11955-7_69
See also:
PERMALINK : https://www.eurecom.fr/publication/4404