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PROMISE Winter School

PROMISE 2012: Information Retrieval Meets Information Visualization pp 116–131Cite as

Visual Analytics and Information Retrieval

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7757))

Abstract

Visual Analytics (VA) [1] is an emerging multi-disciplinary area that takes into account both ad-hoc and classical Data Mining (DM) algorithms and Information Visualization IV (IV) techniques, combining the strengths of human and electronic data processing. Visualisation becomes the medium of a semi-automated analytical process, where human beings and machines cooperate using their respective distinct capabilities for the most effective results. Decisions on which direction analysis should take in order to accomplish a certain task are left to the user. Although IV techniques have been extensively explored [2], combining them with automated data analysis for specific application domains is still a challenging activity [3]. This chapter provides an introduction of the main concepts behind VA and presents some practical examples on how apply it to Information Retrieval (IR).

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Author information

Authors and Affiliations

  1. “La Sapienza” University of Rome, Italy

    Giuseppe Santucci

Authors
  1. Giuseppe Santucci
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Editor information

Editors and Affiliations

  1. Department of Information Engineering, University of Padua, Via Gradenigo 6/a, 35131, Padua, Italy

    Maristella Agosti

  2. Department of Information Engineering, University of Padua, Via Gradenigo 6/a, 35131, Italy

    Nicola Ferro

  3. Center for the Evaluation of Language and Communication Technologies (CELCT), Via alla Cascata 56/c, 38123, Povo, TN, Italy

    Pamela Forner

  4. University of Applied Sciences Western Switzerland, TechnoArk 3, 3960, Sierre, Switzerland

    Henning Müller

  5. Department of Computer, Control and Management, Engineering Antonio Ruberti, Sapienza University of Rome, Via Ariosto 25, 00185, Rome, Italy

    Giuseppe Santucci

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Santucci, G. (2013). Visual Analytics and Information Retrieval. In: Agosti, M., Ferro, N., Forner, P., Müller, H., Santucci, G. (eds) Information Retrieval Meets Information Visualization. PROMISE 2012. Lecture Notes in Computer Science, vol 7757. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36415-0_8

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  • DOI: https://doi.org/10.1007/978-3-642-36415-0_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-36414-3

  • Online ISBN: 978-3-642-36415-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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