[CAT11a] RoSeS : A continuous query processor for large-scale RSS filtering and agregation

Atelier, Poster ou Démonstration dans une Conférence Internationale : CIKM'11, 20th ACM Conference on Information Knowledge Management, October 2011, pp.2549-2552, Glasgow, United Kingdom,

Auteurs: J. Creus , B. Amann , N. Travers , D. Vodislav

Mots clés: RSS, continuous query processing, multi-query optimization, Pub/Sub

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.

Equipe: vertigo

Collaboration: LIP6 , ETIS

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BibTeX

@inproceedings {
	CAT11a,
	title	=	"{RoSeS : A continuous query processor for large-scale RSS filtering and agregation}",
	author	=	" J. Creus and B. Amann and N. Travers and D. Vodislav ",
	booktitle	=	"{CIKM'11, 20th ACM Conference on Information Knowledge Management}",
	year	=	2011,
	month	=	"October",
	pages	=	"2549-2552",
	address	=	"Glasgow, United Kingdom",
}