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International Conference on Applications of Natural Language to Information Systems

NLDB 2016: Natural Language Processing and Information Systems pp 326–334Cite as

PIRAT: A Personalized Information Retrieval System in Arabic Texts Based on a Hybrid Representation of a User Profile

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9612))

Abstract

The work presented in this paper aims at developing a Personalized Information Retrieval system in Arabic Texts (“PIRAT”) based on the user’s preferences/interests. For this reason, we proposed a user’s modeling and a personalized matching method document-query. The proposed user’s modeling is based on a hybrid representation of the user profile. In this approach, we introduce an algorithm which automatically builds a hierarchical user profile that represents his implicit personal interests and domain. It is to represent the interests and the domain with a conceptual network of nodes linked together through relationships respecting the linking topology defined in the domain of hierarchies and ontologies (hyperonymy, hyponymy, and synonymy). Then, we address the problem of unavailable language resources by building (i) a large Arabic text corpus entitled “WCAT” and (ii) Building our own Arabic queries corpus entitled “AQC2” in order to evaluate the suggested PIRAT system and AXON system. The results of this evaluation are promising.

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Notes

  1. 1.

    http://wwww.globalwordnet.org/AWN/AWNBrowser.html.

  2. 2.

    http://amine-platform.sourceforge.net.

  3. 3.

    http://nlp.ldeo.columbia.edu/madamira/#locale=ar.

  4. 4.

    https://lucene.apache.org/.

  5. 5.

    The Wikipedia account 236,019 items in 02/12/2015.

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Author information

Authors and Affiliations

  1. MIRACL Laboratory, Faculty of Economics and Management of Sfax, ANLP Research Group, Sfax, Tunisia

    Houssem Safi, Maher Jaoua & Lamia Hadrich Belguith

Authors
  1. Houssem Safi
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  2. Maher Jaoua
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  3. Lamia Hadrich Belguith
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Corresponding authors

Correspondence to Houssem Safi , Maher Jaoua or Lamia Hadrich Belguith .

Editor information

Editors and Affiliations

  1. ConservatoireNational desArts et Métiers, Paris, France

    Elisabeth Métais

  2. University of Salford, Salford, United Kingdom

    Farid Meziane

  3. University of Salford, Salford, United Kingdom

    Mohamad Saraee

  4. Oakland University, Rochester, Michigan, USA

    Vijayan Sugumaran

  5. University of Salford, Salford, United Kingdom

    Sunil Vadera

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© 2016 Springer International Publishing Switzerland

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Safi, H., Jaoua, M., Belguith, L.H. (2016). PIRAT: A Personalized Information Retrieval System in Arabic Texts Based on a Hybrid Representation of a User Profile. In: Métais, E., Meziane, F., Saraee, M., Sugumaran, V., Vadera, S. (eds) Natural Language Processing and Information Systems. NLDB 2016. Lecture Notes in Computer Science(), vol 9612. Springer, Cham. https://doi.org/10.1007/978-3-319-41754-7_31

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  • DOI: https://doi.org/10.1007/978-3-319-41754-7_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-41753-0

  • Online ISBN: 978-3-319-41754-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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