Encyclopedia of Database Systems

2018 Edition
| Editors: Ling Liu, M. Tamer Özsu

Contextualization in Structured Text Retrieval

  • Jaana KekäläinenEmail author
  • Paavo Arvola
  • Marko Junkkari
Reference work entry
DOI: https://doi.org/10.1007/978-1-4614-8265-9_81


In information retrieval, contextualization refers to a (re)scoring method, where the relevance of a retrievable unit (e.g. document, image, sentence or passage) is estimated by taking its context into account. The context of the unit may consist of surrounding text or external texts associated with the unit by links. In contextualization the unit’s retrieval status value (RSV) is not calculated in isolation, but depending on its explicitly defined context.

Historical Background

In hyperlinked semi-structured documents, context is considered external in the form of citations and hyperlinks and internal in the form of the document’s structure and these sources of information are exploited as contextual evidence. It is hypothesized that units in a good context (having strong contextual evidence) should be better candidates to be relevant to the posed query, than those in a poor context. The term contextualization in this domain was introduced by Arvola and others [1].


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Recommended Reading

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  • Jaana Kekäläinen
    • 1
    Email author
  • Paavo Arvola
    • 1
  • Marko Junkkari
    • 1
  1. 1.University of TampereTampereFinland

Section editors and affiliations

  • Jaap Kamps
    • 1
  1. 1.University of AmsterdamAmsterdamThe Netherlands