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  InZeit: Efficiently Identifying Insightful Time Points

Setty, V., Bedathur, S., Berberich, K., & Weikum, G. (2010). InZeit: Efficiently Identifying Insightful Time Points. In Proceedings of the 36th International Conference on Very Large Data Bases (pp. 1605-1608). New York, NY: ACM. Retrieved from http://portal.acm.org/citation.cfm?id=1920841.1921050.

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Genre: Conference Paper
Latex : In{Z}eit: Efficiently Identifying Insightful Time Points

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 Creators:
Setty, Vinay1, Author           
Bedathur, Srikanta1, Author           
Berberich, Klaus1, Author           
Weikum, Gerhard1, Author           
Affiliations:
1Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018              

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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.

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Language(s): eng - English
 Dates: 20102010
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 536372
URI: http://portal.acm.org/citation.cfm?id=1920841.1921050
Other: Local-ID: C1256DBF005F876D-3CBDACCE16CE927BC12577500029A379-Setty2010
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Title: 36th International Conference on Very Large Data Bases
Place of Event: Singapore
Start-/End Date: 2010-09-13 - 2010-09-17

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Title: Proceedings of the 36th International Conference on Very Large Data Bases
Source Genre: Proceedings
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Publ. Info: New York, NY : ACM
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1605 - 1608 Identifier: -

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Title: Proceedings of the VLDB Endowment
Source Genre: Series
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