InZeit: efficiently identifying insightful time points

Authors:
Vinay Setty;Srikanta Bedathur;Klaus Berberich;Gerhard Weikum
Affiliations:
Max-Planck Institute for Informatics, Saarbrücken, Germany;Max-Planck Institute for Informatics, Saarbrücken, Germany;Max-Planck Institute for Informatics, Saarbrücken, Germany;Max-Planck Institute for Informatics, Saarbrücken, Germany
Venue:
Proceedings of the VLDB Endowment
Year:
2010

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Abstract

Web archives are useful resources to find out about the temporal evolution of persons, organizations, products, or other topics. However, even when advanced text search functionality is available, gaining insights into the temporal evolution of a topic can be a tedious task and often requires sifting through many documents. The demonstrated system named InZeit (pronounced "insight") assists users by determining insightful time points for a given query. These are the time points at which the top-k time-travel query result changes substantially and for which the user should therefore inspect query results. InZeit determines the m most insightful time points efficiently using an extended segment tree for in-memory bookkeeping.