Temporal analysis of document collections: framework and applications

  • Authors:
  • Omar Alonso;Michael Gertz;Ricardo Baeza-Yates

  • Affiliations:
  • Microsoft Corp., Mountain View, California;Institute of Computer Science, University of Heidelberg, Germany;Yahoo! Research, Barcelona, Spain

  • Venue:
  • SPIRE'10 Proceedings of the 17th international conference on String processing and information retrieval
  • Year:
  • 2010

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Abstract

As the amount of generated information increases so rapidly in the digital world, the concept of time as a dimension along which information can be organized and explored becomes more and more important. In this paper, we present a temporal document analysis framework for document collections in support of diverse information retrieval and seeking tasks. Our analysis is not based on document creation and/or modification timestamps but on extracting time from the content itself. We also briefly sketch some scenarios and experiments for analyzing documents from a temporal perspective.