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Encyclopedia of Database Systems pp 1–6Cite as

Time and Information Retrieval

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Synonyms

Temporal information retrieval

Definition

Traditional information retrieval (IR) is concerned with models, algorithms, and architectures for the retrieval and ranking of documents from a document collection based on their relevance to search queries. In temporal information retrieval, expressions (words or phrases) that relate to instants in time, events, time periods, or other temporal descriptions are extracted from documents and handled in a special way to rank (and optionally group) the documents returned for a search query. Thus, in temporal information retrieval, temporal expressions extracted from documents play a special role in the overall relevance and in the organization and exploration of search results along timelines.

Historical Background

Research on temporal annotations has gained a lot of attention lately, and it is covered in great depth in the book edited by Mani et al. [6]. The work also includes discussions about tense and structural analysis and temporal...

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Recommended Reading

  1. Allan J, Gupta R, Khandelwal V. Temporal summaries of news topics. In: Proceedings of SIGIR; 2001. p. 10–18.

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  2. Alonso O, Baeza-Yates R, Gertz M. Clustering and exploring search results using timeline constructions. In: Proceedings of CIKM; 2009. p. 97–106.

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  5. Mani I, Pustejovsky J, Sundheim B. Introduction to the special issue on temporal information processing. ACM Trans Asian Lang Inf Process. 2004;3(1):1–10.

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  6. Mani I, Pustejovsky J, Gaizauskas RJ, editors. The language of time. Oxford: Oxford University Press; 2005.

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Author information

Authors and Affiliations

  1. Microsoft Silicon Valley, Mountain View, CA, USA

    Omar Alonso

  2. Heidelberg University, Heidelberg, Germany

    Michael Gertz

Authors
  1. Omar Alonso
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  2. Michael Gertz
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Corresponding author

Correspondence to Omar Alonso .

Editor information

Editors and Affiliations

  1. Georgia Institute of Technology College of Computing, Atlanta, Georgia, USA

    Ling Liu

  2. University of Waterloo School of Computer Science, Waterloo, Ontario, Canada

    M. Tamer Özsu

Section Editor information

  1. Fondazione Ugo Bordoni, Via B. Castiglione, 59, Rome, Italy

    Giambattista Amati

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© 2017 Springer Science+Business Media LLC

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Alonso, O., Gertz, M. (2017). Time and Information Retrieval. In: Liu, L., Özsu, M. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4899-7993-3_929-2

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  • DOI: https://doi.org/10.1007/978-1-4899-7993-3_929-2

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4899-7993-3

  • Online ISBN: 978-1-4899-7993-3

  • eBook Packages: Springer Reference Computer SciencesReference Module Computer Science and Engineering

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