Skip to main content
SpringerLink
Log in

A Decision-Support Tool of Medicinal Plants Using NooJ Platform

  • Conference paper
  • First Online:
Automatic Processing of Natural-Language Electronic Texts with NooJ (NooJ 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 667))

Included in the following conference series:

Abstract

In this paper, we are going to develop a tool allowing the identification of recommended medicinal plant names. This tool is based on local grammars built in the linguistic platform NooJ. The developed tool is based on two processes: selection of criteria and identification of the appropriate plant. The first process consists in introducing criteria, such as age, symptoms, sex, contraindication. All these information are inserted in a format developed with Java. The content of this format is saved inside texts which are used as input for the linguistic platform NooJ. The second process consists in parsing the text generated with the procedure of first process, and in identifying the appropriate medicinal plant. This step is based on transducers that represent different rules allowing the recognition of the recommended plant. The system developed is easy to use and does not require computer skills. It gives also consistent results.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    http://www.sciencedirect.com/science/journal/22147861.

  2. 2.

    http://www.academicjournals.org/journal/JMPR.

  3. 3.

    http://www.phytotherapyjournal.com/.

  4. 4.

    https://autohotkey.com/docs/Tutorial.htm.

References

  1. Silberztein, M., Tutin, A.: NooJ, un outil TAL pour l’enseignement des langues. Application pour l’étude de la morphologie lexicale en FLE. Spécial Atala 8(2), 123–134 (2005)

    Google Scholar 

  2. Hoffmann, D.: Medical Herbalism: The Science and Practice of Herbal Medicine. Haling Arts Press, Rochester (2003)

    Google Scholar 

  3. Ameh, S.J., Obodozie, O.O., Babalola, P.C., Gamaniel, K.S.: Medical herbalism and herbal clinical research: a global perspective. Br. J. Pharm. Res. 1(4), 99–123 (2011)

    Article  Google Scholar 

  4. Gledhill, D.: The Names of Plants. Cambridge University Press, Cambridge (2008)

    Book  Google Scholar 

  5. Fabre, M-C., Genin, A., Merigoux, J., Moget, E.: Herboristerie Familiale. Des recettes simples avec des plantes simples pour résoudre les problèmes simples (1992)

    Google Scholar 

  6. Lim-Cheng, N.-R., Richmond, C., Co, J., Gaudiel, C.H.S., Umadac, D.F., Victor, N.L.: Semi-automatic population of ontology of Philippine medicinal plants from on-line text. Presented at the DLSU Research Congress, De La Salle University, Manila, Philippines, 6–8 March 2014

    Google Scholar 

  7. Seideh, M.A.F., Fehri, H., Haddar, K.: Named entity recognition from Arabic-French herbalism parallel corpora. In: Okrut, T., Hetsevich, Y., Silberztein, M., Stanislavenka, H. (eds.) NooJ 2015. CCIS, vol. 607, pp. 191–201. Springer, Heidelberg (2016). doi:10.1007/978-3-319-42471-2_17

    Chapter  Google Scholar 

  8. Silberztein, M.: Formalizing Natural Languages: The NooJ Approach. Wiley, London (2016)

    Book  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. MIRACL Laboratory, Higher Management Institute of Gabes, University of Gabes, Gabès, Tunisia

    Héla Fehri, Mohamed Aly Fall Seideh & Sondes Dardour

Authors
  1. Héla Fehri
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Mohamed Aly Fall Seideh
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Sondes Dardour
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Héla Fehri .

Editor information

Editors and Affiliations

  1. Università degli Studi di Salerno , Fisciano, Italy

    Linda Barone

  2. Università degli Studi di Salerno , Fisciano, Italy

    Mario Monteleone

  3. Université de Franche-Comté , Paris, France

    Max Silberztein

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing AG

About this paper

Cite this paper

Fehri, H., Seideh, M.A.F., Dardour, S. (2016). A Decision-Support Tool of Medicinal Plants Using NooJ Platform. In: Barone, L., Monteleone, M., Silberztein, M. (eds) Automatic Processing of Natural-Language Electronic Texts with NooJ. NooJ 2016. Communications in Computer and Information Science, vol 667. Springer, Cham. https://doi.org/10.1007/978-3-319-55002-2_21

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-55002-2_21

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-55001-5

  • Online ISBN: 978-3-319-55002-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation