Campus Event Calendar
Event Entry
What and Who
Refresh Strategies and Online Change Estimation for Highly Dynamic Web Content
Roxana Gabriela Horincar
()
On Friday, Nov 23, 2012
Universite Pierre et Marie Curie, Paris
Postdoc Application Talk
AG 5
AG Audience
English
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Date, Time and Location
Friday, 23 November 2012
10:30
60 Minutes
E1 4
433
Saarbrücken
Abstract
Lately, the online available web content has been getting more
and more diverse and dynamic because of the rapidly increasing
number of sources and devices connected to the Internet and the
growing success of the Web 2.0 services. In order to facilitate
the efficient dissemination of the evolutive and often temporary
information streams (news, messages, announcements), many web
applications publish their most recent information items as RSS
documents which are then collected and transformed by RSS
aggregators like Google Reader or Yahoo! News.
This talk will discuss the general problem of efficiently
crawling highly dynamic web data in the context of content-based
feed aggregation systems. More precisely, I introduce an optimal
best-effort refresh strategy that maximizes the feed aggregation
quality (completeness and freshness) and that takes into account
the feed saturation process. Furthermore, I analyze the
characteristics of a representative collection of real-world RSS
feeds focusing on their temporal dimension. And last, I study
different online change estimation techniques and present how
they integrate with the feed refresh strategy.
and more diverse and dynamic because of the rapidly increasing
number of sources and devices connected to the Internet and the
growing success of the Web 2.0 services. In order to facilitate
the efficient dissemination of the evolutive and often temporary
information streams (news, messages, announcements), many web
applications publish their most recent information items as RSS
documents which are then collected and transformed by RSS
aggregators like Google Reader or Yahoo! News.
This talk will discuss the general problem of efficiently
crawling highly dynamic web data in the context of content-based
feed aggregation systems. More precisely, I introduce an optimal
best-effort refresh strategy that maximizes the feed aggregation
quality (completeness and freshness) and that takes into account
the feed saturation process. Furthermore, I analyze the
characteristics of a representative collection of real-world RSS
feeds focusing on their temporal dimension. And last, I study
different online change estimation techniques and present how
they integrate with the feed refresh strategy.
Contact
Gerhard Weikum
5000
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Petra Schaaf, 11/20/2012 09:33 -- Created document.