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International Conference on Enterprise Information Systems

ICEIS 2018: Enterprise Information Systems pp 262–282Cite as

Multi-view Navigation in a Personalized Scientometric Retrieval System

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Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 363))

Abstract

Given the large number of scientific productions, it becomes difficult to select those that meet the needs of researchers in scientific information and from certain sources of trust. One of the challenges facing researchers is finding quality scientific information that meets their research needs. In order to guarantee a quality result, a research method based on scientific quality is required. The quality of scientific information is measured by scientometrics based on a set of metrics and measures called scientometric indicators. In this paper we propose a new personalized information retrieval approach taking into account the researcher quality requirements. The proposed approach includes a scientometric document annotator, a scientometric user model, a scientometric ranking approach and different results visualization methods. We discuss the feasibility of this approach by performing different experimentations on its different parts. The incorporation of scientometric indicators into the different parts of our approach has significantly improved retrieval performance which is rated for 41.66% in terms of F-measure. An important implication of this finding is the existence of correlation between research paper quality and paper relevance. The revelation of this correlation implies better retrieval performance.

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Notes

  1. 1.

    https://clarivate.com/products/journal-citation-reports/.

  2. 2.

    http://portal.core.edu.au/conf-ranks/.

  3. 3.

    https://www.scimagojr.com/journalrank.php.

  4. 4.

    http://www.kartoo.com.

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Author information

Authors and Affiliations

  1. RIADI Laboratory/ENSI, University of Manouba, 2010, Manouba, Tunisia

    Nedra Ibrahim, Anja Habacha Chaibi & Henda Ben Ghézala

Authors
  1. Nedra Ibrahim
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  2. Anja Habacha Chaibi
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  3. Henda Ben Ghézala
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Corresponding author

Correspondence to Nedra Ibrahim .

Editor information

Editors and Affiliations

  1. MODESTE/ESEO, Angers, France

    Slimane Hammoudi

  2. Warsaw University of Technology, Warsaw, Poland

    Michał Śmiałek

  3. MODESTE/ESEO, Angers, France

    Olivier Camp

  4. INSTICC and Polytechnic Institute of Setúbal, Setúbal, Portugal

    Joaquim Filipe

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Ibrahim, N., Chaibi, A.H., Ben Ghézala, H. (2019). Multi-view Navigation in a Personalized Scientometric Retrieval System. In: Hammoudi, S., Śmiałek, M., Camp, O., Filipe, J. (eds) Enterprise Information Systems. ICEIS 2018. Lecture Notes in Business Information Processing, vol 363. Springer, Cham. https://doi.org/10.1007/978-3-030-26169-6_13

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  • DOI: https://doi.org/10.1007/978-3-030-26169-6_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-26168-9

  • Online ISBN: 978-3-030-26169-6

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