Earticle

초록

영어

In this paper, we propose a hybrid system for contextual and semantic indexing of Arabic documents, bringing an improvement to classical models based on n-grams and the TFIDF model. This new approach takes into account the concept of the semantic vicinity of terms. We proceed in fact by the calculation of similarity between words using an hybridization of NGRAMs-TFIDF statistical measures and a kernel function in order to identify relevant descriptors. Terminological resources such as graphs and semantic dictionaries are integrated into the system to improve the indexing and the classification processes.

목차

Abstract
 1. Introduction
 2. Related Works
 3. Architecture of the Proposed System
  3.1. Process Diagram
  3.2. Used Corpus
  3.3. Preprocessing
  3.4. Space of Representation
  3.5. Descriptors Weighting by N-grams
  3.6. Descriptors Weighting by tfidf
 4. Semantic Indexing with Kernel Function
  4.1. Calculation of the New Weights
  4.2. Semantic Resources
 5. The New Weights with Radial Basis
  5.1. Radial Basis NGRAM
  5.2. Radial Basis TFIDF
  5.3. Classification
 6. Complete Algorithms
  6.1. NGRAM-RBF and TFIDF-RBF
  6.2. Radial basis Hybrid Method
 7. Discussion and Conclusion
 Acknowledgements
 References

키워드

저자

• Taher Zaki [ IRF-SIC Laboratory, University Ibn Zohr, Agadir, Morocco, LITIS Laboratory EA 4108, University of Rouen, 76000 Rouen, France ]
• Youssef Es-saady [ IRF-SIC Laboratory, University Ibn Zohr, Agadir, Morocco ]
• Driss Mammass [ IRF-SIC Laboratory, University Ibn Zohr, Agadir, Morocco ]
• Abdellatif Ennaji [ LITIS Laboratory EA 4108, University of Rouen, 76000 Rouen, France ]
• Stéphane Nicolas [ LITIS Laboratory EA 4108, University of Rouen, 76000 Rouen, France ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Software Engineering and Its Applications

• 간기

  월간

• pISSN

  1738-9984

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605