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Information Retrieval from Unstructured Arabic Legal Data

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PRICAI 2016: Trends in Artificial Intelligence (PRICAI 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9810))

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Abstract

Given the steady increase of published and stored information in the form of Arabic unstructured texts, current Information Retrieval (IR) systems must be able to suit the nature and requirements of this language for an accurate and efficient search. This paper sheds light on the challenges in Arabic IR (AIR) and proposes an approach for enhancing the process of AIR based on transforming these texts into structured documents in XML format through a document ontology as well as a set of linguistic grammars. The IR system hence is done on the XML documents. The aim of such system is to incorporate the knowledge on the document structure and on specific content elements in computing the relevance of an information element. A query expansion module mainly based on domain ontology as well as user profile is proposed for the enhancement of the search results.

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Notes

  1. 1.

    https://open.xerox.com/Services/arabic-morphology/Consume/Morphological%20Analysis-218.

  2. 2.

    http://www.nooj4nlp.net/.

  3. 3.

    http://www.nooj4nlp.net/.

  4. 4.

    http://ejustice.tn.

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Author information

Authors and Affiliations

  1. MIRACL Laboratory, ISIM Sfax, Sfax, Tunisia

    Imen Bouaziz Mezghanni & Faiez Gargouri

Authors
  1. Imen Bouaziz Mezghanni
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  2. Faiez Gargouri
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Corresponding author

Correspondence to Imen Bouaziz Mezghanni .

Editor information

Editors and Affiliations

  1. Cardiff University, Cardiff, United Kingdom

    Richard Booth

  2. Southeast University , Nanjing, China

    Min-Ling Zhang

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© 2016 Springer International Publishing Switzerland

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Mezghanni, I.B., Gargouri, F. (2016). Information Retrieval from Unstructured Arabic Legal Data. In: Booth, R., Zhang, ML. (eds) PRICAI 2016: Trends in Artificial Intelligence. PRICAI 2016. Lecture Notes in Computer Science(), vol 9810. Springer, Cham. https://doi.org/10.1007/978-3-319-42911-3_4

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  • DOI: https://doi.org/10.1007/978-3-319-42911-3_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-42910-6

  • Online ISBN: 978-3-319-42911-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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