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Conference Paper

FluxCapacitor: Efficient Time-Travel Text Search

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Berberich,  Klaus
Databases and Information Systems, MPI for Informatics, Max Planck Society;

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Bedathur,  Srikanta
Databases and Information Systems, MPI for Informatics, Max Planck Society;

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Neumann,  Thomas
Databases and Information Systems, MPI for Informatics, Max Planck Society;

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Weikum,  Gerhard
Databases and Information Systems, MPI for Informatics, Max Planck Society;

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Citation

Berberich, K., Bedathur, S., Neumann, T., & Weikum, G. (2007). FluxCapacitor: Efficient Time-Travel Text Search. In C. Koch, J. Gehrke, M. Garofalakis, D. Srivastava, K. Aberer, A. Deshpande, et al. (Eds.), 33rd International Conference on Very Large Data Bases (VLDB 2007) (pp. 1414-1417). New York, NY, USA: ACM.


Cite as: http://hdl.handle.net/11858/00-001M-0000-000F-1F48-8
Abstract
An increasing number of temporally versioned text collections is available today with {W}eb archives being a prime example. Search on such collections, however, is often not satisfactory and ignores their temporal dimension completely. Time-travel text search solves this problem by evaluating a keyword query on the state of the text collection as of a userspecified time point. This work demonstrates our approach to efficient time-travel text search and its implementation in the {F}lux{C}apacitor prototype.