Earticle

초록

영어

In this paper we propose a model of classification based on the principle of the fuzzy proximity of the terms within the documents. Given the heterogeneous nature of the Arabic documents in our possession, we have studied for this purpose the research model based on the semantic proximity of terms and inspired from the classic Boolean model.
Our approach is based on the assumption that more the occurrences of terms in query are close with good connectivity in the extracted semantic graph from the set of document , more this document is relevant to this query.
We propose a measure that provides a contextual and semantic search. We used not only a semantic graph to highlight the semantic connections between terms, but also an auxiliary dictionary to increase the connectivity of the graph and therefore the discrimination of documents relevant to the query.

목차

Abstract
 1. Introduction
 2. Measure of proximity
  2.1. Semantic proximity
  2.2. The model of fuzzy proximity
  2.3. Relevance of a query against a document
 3. The semantic resources
 4. Text preprocessing
 5. Radial basis function
  5.1. Definition
  5.2. Approximation
 6. Construction of the auxiliary dictionary
 7. Construction of the semantic graph
 8. Choice of the radial basis function
 9. Our new model: The fuzzy model of the semantic proximity with radial basis
  9.1 The local semantic relevance
  9.2 The fuzzy model of the semantic proximity with radial
 10. Results
 11. Conclusion
 References

키워드

저자

• Taher ZAKI [ RF-SIC, Faculty of Science, Ibn Zohr University ]
• Driss MAMMASS [ RF-SIC, Faculty of Science, Ibn Zohr University ]
• Abdellatif ENNAJI [ LITIS - University of Rouen ]
• F. NOUBOUD [ Université du Québec à Trois – Rivières ,Québec, Canada ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Future Generation Communication and Networking

• 간기

  격월간

• pISSN

  2233-7857

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605