RoSeS: A Continuous Content-Based Query Engine for RSS Feeds

  • Jordi Creus Tomàs
  • Bernd Amann
  • Nicolas Travers
  • Dan Vodislav
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6861)


In this paper we present RoSeS (Really Open Simple and Efficient Syndication), a generic framework for content-based RSS feed querying and aggregation. RoSeS is based on a data-centric approach, using a combination of 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. Publishing these queries corresponds to defining views which can then be used for building new queries / feeds. This naturally reflects the publish-subscribe nature of RSS applications. The contributions presented in this paper are a declarative RSS feed aggregation language, an extensible stream algebra for building efficient continuous multi-query execution plans for RSS aggregation views, a multi-query optimization strategy for these plans and a running prototype based on a multi-threaded asynchronous execution engine.


Steiner Tree Publishing Rate Query Plan Continuous Query Query Graph 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Jordi Creus Tomàs
    • 1
  • Bernd Amann
    • 1
  • Nicolas Travers
    • 2
  • Dan Vodislav
    • 3
  1. 1.LIP6, CNRS - Université Pierre et Marie CurieParisFrance
  2. 2.Cedric/CNAM - Conservatoire National des Arts et MétiersParisFrance
  3. 3.ETIS, CNRS - University of Cergy-PontoiseCergyFrance

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