Social, Structured and Semantic Search

Abstract : Social content such as blogs, tweets, news etc. is a rich source of interconnected information. We identify a set of requirements for the meaningful exploitation of such rich content, and present a new data model, called S3, which is the first to satisfy them. S3 captures social relationships between users, and between users and content, but also the structure present in rich social content, as well as its semantics. We provide the first top-k keyword search algorithm taking into account the social, structured, and semantic dimensions and formally establish its termination and correctness. Experiments on real social networks demonstrate the efficiency and qualitative advantage of our algorithm through the joint exploitation of the social, structured, and semantic dimensions of S3.
Type de document :
Communication dans un congrès
International Conference on Extending Database Technology, Mar 2016, Bordeaux, France. <http://www.edbt.org/>
Liste complète des métadonnées

https://hal.inria.fr/hal-01277939
Contributeur : Bonaque Raphaël <>
Soumis le : mardi 23 février 2016 - 14:02:39
Dernière modification le : vendredi 3 mars 2017 - 14:25:33
Document(s) archivé(s) le : dimanche 13 novembre 2016 - 02:54:49

Fichier

hal.pdf
Fichiers produits par l'(les) auteur(s)

Licence


Distributed under a Creative Commons Paternité - Pas d'utilisation commerciale - Pas de modification 4.0 International License

Identifiants

  • HAL Id : hal-01277939, version 1

Citation

Raphaël Bonaque, Bogdan Cautis, François Goasdoué, Ioana Manolescu. Social, Structured and Semantic Search. International Conference on Extending Database Technology, Mar 2016, Bordeaux, France. <http://www.edbt.org/>. <hal-01277939>

Partager

Métriques

Consultations de
la notice

713

Téléchargements du document

71