Encyclopedia of Database Systems

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

Information Retrieval Operations

  • Edie RasmussenEmail author
Reference work entry
DOI: https://doi.org/10.1007/978-1-4614-8265-9_940


Information retrieval processing


An information retrieval system for collections of unstructured text can be viewed as a set of processing modules, beginning with lexical analysis of documents and leading ultimately to a retrieval process in which user queries are matched against documents. The processes which make up an information retrieval system are referred to as information retrieval operations. In some cases, the end goal is not the retrieval of matching documents from a collection but an auxiliary application, such as document categorization, summarization, or filtering of information from an information stream. While the basic operations in information retrieval systems are similar, there can be considerable variability in the model or details of implementation, making evaluation of information retrieval system effectiveness an important step.

Historical Background

Early work in information retrieval began in the 1950s with the recognition that words in...

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Recommended Reading

  1. 1.
    Eckard E, Chappelier J-C. Free software for research in information retrieval and textual clustering. 2007. Available at: infoscience.epfl.ch/record/115460/files/Free_sofware_for_IR.pdf.Google Scholar
  2. 2.
    Frakes WB, Baeza-Yates R. Information retrieval: data structures and algorithms. Prentice Hall: Englewood Cliffs; 1992.Google Scholar
  3. 3.
    Korfhage RR. Information storage and retrieval. New York: Wiley; 1997.Google Scholar
  4. 4.
    Luhn HP. The automatic creation of literatureabstracts. IBM J Res Dev. 1958;2(2):159–65. Available at: http://www.research.ibm.com/journal/rd/022/luhn.pdf.MathSciNetCrossRefGoogle Scholar
  5. 5.
    Luhn HP. Keyword-in-context index for technical literature. Am Doc. 1960;11(4):288.CrossRefGoogle Scholar
  6. 6.
    Manning CD, Raghavan P, Schütze H. Introduction to information retrieval. Cambridge: Cambridge University Press; 2008.zbMATHCrossRefGoogle Scholar
  7. 7.
    Salton G. The SMART retrieval system: experiments in automatic document processing. Englewood Cliffs: Prentice-Hall; 1971.Google Scholar
  8. 8.
    Sparck JK. Retrieval system tests 1958–1978. In: Sparck Jones K, editor. Information retrieval experiment. Butterworths: London; 1981. p. 213–55.Google Scholar
  9. 9.
    Voorhees EM, D.K.Harman, editors. TREC: experiment and evaluation in information retrieval.Cambridge, MA: MIT Press; 2005.Google Scholar
  10. 10.
    Witten IH, Moffat A, Bell TC. Managing gigabytes: compressing and indexing documents and images. 2nd ed. San Francisco: Morgan Kaufmann; 1999.zbMATHGoogle Scholar
  11. 11.
    Zhang J. Visualization for information retrieval.New York: Springer; 2008.zbMATHCrossRefGoogle Scholar

Copyright information

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

Authors and Affiliations

  1. 1.Library, Archival and Information StudiesThe University of British ColumbiaVancouverCanada

Section editors and affiliations

  • Edie Rasmussen
    • 1
  1. 1.Library, Archival & Inf. StudiesThe Univ. of British ColumbiaVancouverCanada