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

Jordi Creus Tomàs, Bernd Amann, Nicolas Travers, Dan Vodislav
<span title="">2011</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
In this article 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 multiquery 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
more &raquo; ... 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 article 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.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-23091-2_19">doi:10.1007/978-3-642-23091-2_19</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ulweziahendpvof3dvxemmcmje">fatcat:ulweziahendpvof3dvxemmcmje</a> </span>
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