The paper “Efficiently Identifying Insightful Time Point” written by K. Berberich has been presented at VLDB 2010 in Singapore on September 13th-17th, 2010
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.
In this paper the demonstrated system named INZEIT1 (pronounced “in-sight”) 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.
The LK project is funded by the European Commission under Project No. 231126