Danaïdes: continuous and progressive complex queries on RSS feeds

  • Authors:
  • Wee Hyong Tok;Stéphane Bressan;Mong-Li Lee

  • Affiliations:
  • School of Computing, National University of Singapore;School of Computing, National University of Singapore;School of Computing, National University of Singapore

  • Venue:
  • DASFAA'07 Proceedings of the 12th international conference on Database systems for advanced applications
  • Year:
  • 2007

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Abstract

RSS (Really Simple Syndication) is a format used for the publication and syndication of web content. While several frameworks, techniques and algorithms have been proposed and studied for the processing of complex queries on data streams, current RSS reader and aggregator software and services do not propose advanced query facilities. We designed and implemented a prototype RSS aggregator service, called Danaïdes, for the processing of complex queries on continuously updated RSS feeds and of progressively producing results. We demonstrate the prototype and its several user-interfaces with a geographical application using geoRSS feeds. This work is a practical application of our research on progressive query processing algorithms for data streams.