An Enhanced Fuzzy Information Retrieval Model Based on Linguistics

Zeinab E. Al-Arab; Ahmed M. Gadallah; Hesham M. Hefny

doi:10.4028/www.scientific.net/AMM.519-520.853

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 519-520An Enhanced Fuzzy Information Retrieval Model...

An Enhanced Fuzzy Information Retrieval Model Based on Linguistics

Abstract:

The paper proposes a linguistic based fuzzy ontology information retrieval model. The model deals with linguistic based queries in multi domains. Such linguistics are user defined, reflecting his subjective view. The model also proposes a ranking algorithm that ranks the set of relevant documents according to some criteria such as their relevance degree, confidence degree, and updating degree.

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Periodical:

Applied Mechanics and Materials (Volumes 519-520)

Pages:

853-856

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.519-520.853

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Online since:

February 2014

Authors:

Zeinab E. Al-Arab, Ahmed M. Gadallah*, Hesham M. Hefny

Keywords:

Fuzzy Ontology, Fuzzy Ontology Information Retrieval, Information Retrieval, Linguistic Based Query Answering System, Ranking Documents

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* - Corresponding Author

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