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A Guided Tour of Artificial Intelligence Research pp 147–180Cite as

Information Retrieval and Artificial Intelligence

Abstract

Information Retrieval (IR) is a process involving activities related to human cognition and to knowledge management; as such, the definition of Information Retrieval Systems can benefit of the application of artificial intelligence techniques to account for the intrinsic uncertainty and imprecision that characterize the subjectivity of this task. This chapter presents a synthetic analysis of the IR task from an AI perspective and explores how AI techniques are employed within IR.

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Notes

  1. 1.

    https://wordnet.princeton.edu/.

  2. 2.

    http://mesh.inserm.fr/FrenchMesh/.

  3. 3.

    \(\models \) is a meta-language symbol, where \(s_1 \models s_2\) means that in any interpretation if \(s_1\) is true then \(s_2\) is also true.

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Authors and Affiliations

  1. IRIT, Université Toulouse III, Toulouse, France

    Mohand Boughanem & Imen Akermi

  2. Università degli Studi di Milano-Bicocca, Milan, Italy

    Gabriella Pasi

  3. GESIS - Leibniz Institute for the Social Sciences, Cologne, Germany

    Karam Abdulahhad

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  1. Mohand Boughanem
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  3. Gabriella Pasi
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  4. Karam Abdulahhad
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Correspondence to Mohand Boughanem .

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  1. CRIL-CNRS, Université d'Artois and Institut Universitaire de France, Lens, France

    Pierre Marquis

  2. Aix Marseille Université, Université de Toulon, CNRS, LIS, Marseille, France

    Odile Papini

  3. IRIT, CNRS and Université Paul Sabatier, Toulouse, France

    Henri Prade

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Boughanem, M., Akermi, I., Pasi, G., Abdulahhad, K. (2020). Information Retrieval and Artificial Intelligence. In: Marquis, P., Papini, O., Prade, H. (eds) A Guided Tour of Artificial Intelligence Research. Springer, Cham. https://doi.org/10.1007/978-3-030-06170-8_5

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