RoSeS: a continuous query processor for large-scale RSS filtering and aggregation - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2011

RoSeS: a continuous query processor for large-scale RSS filtering and aggregation

Jordi Creus
  • Fonction : Auteur
  • PersonId : 910692
Bernd Amann

Résumé

We present RoSeS, a running system for large-scale content-based RSS feed filtering and aggregation. The implementation of RoSeS is based on standard database concepts like declarative query languages, views and multi-query optimization. Users create personalized feeds by defining and composing content-based filtering and aggregation queries on collections of RSS feeds. These queries are translated into continuous multi-query execution plans which are optimized using a new cost-based multi-query optimization strategy.
Fichier non déposé

Dates et versions

hal-00639719 , version 1 (09-11-2011)

Identifiants

Citer

Jordi Creus, Bernd Amann, Nicolas Travers, Dan Vodislav. RoSeS: a continuous query processor for large-scale RSS filtering and aggregation. CIKM '11 - 20th ACM international conference on Information and knowledge management, Oct 2011, Glasgow, United Kingdom. pp.2549--2552, ⟨10.1145/2063576.2064016⟩. ⟨hal-00639719⟩
211 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More