Linking multimedia content for efficient news browsing

Abstract : As the amount of news information available online grows, media professionals are in need of advanced tools to explore the information surrounding specific events before writing their own piece of news, e.g., adding context and insight. While many tools exist to extract information from large datasets, they do not offer an easy way to gain insight from a news collection by browsing, going from article to article and viewing unaltered original content. Such browsing tools require the creation of rich underlying structures such as graph representations. These representations can be further enhanced by typing links that connect nodes, in order to inform the user on the nature of their relation. In this article, we introduce an efficient way to generate links between news items in order to obtain an easily navigable graph, and enrich this graph by automatically typing created links. User evaluations are conducted on real-world data in order to assess for the interest of both the graph representation and link typing in a press reviewing task, showing a significant improvement compared to classical search engines.
Liste complète des métadonnées

Littérature citée [19 références]  Voir  Masquer  Télécharger
Contributeur : Guillaume Gravier <>
Soumis le : lundi 15 mai 2017 - 09:04:45
Dernière modification le : mercredi 21 février 2018 - 16:40:15
Document(s) archivé(s) le : jeudi 17 août 2017 - 00:27:52


Fichiers produits par l'(les) auteur(s)


  • HAL Id : hal-01522413, version 1


Rémi Bois, Guillaume Gravier, Eric Jamet, Emmanuel Morin, Maxime Robert, et al.. Linking multimedia content for efficient news browsing. ICMR'17 - ACM International Conference on Multimedia Retrieval, Jun 2017, Bucharest, Romania. 2017. 〈hal-01522413〉



Consultations de la notice


Téléchargements de fichiers