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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 \textsc{InZeit}\footnote{{\bf Zeit}
(German): n. Time, temporal, period (die Zeit).} (pronounced
``insight'') assists users by determining insightful time points for
a given query. These are time points at which the top-$k$
time-travel query result changes substantially and for which the
user should therefore inspect query results. \systemname determines
the $m$ most insightful time points efficiently using an extended
segment tree for in-memory bookkeeping.
