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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Cite this paper

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

References

[1] M. A. A. Leite and I. L. M. Ricarte, A Framework for Information Retrieval Based on Fuzzy Relations and Multiple Ontologies, Springer, pp.292-301, (2008).

Google Scholar

[2] J. Zhai, M. Li, and J. Li, Semantic Information Retrieval Based on RDF and Fuzzy Ontology for University Scientific Research Management, Affective Computing and Intelligent Interaction, AISC 137, p.661–668, (2012).

DOI: 10.1007/978-3-642-27866-2_81

Google Scholar

[3] Q. T. Tho, S. C. Hui, A. C. M. Fong, T. H. Cao, Automatic Fuzzy Ontology Generation for Semantic Web, IEEE transaction on knowledge and data engineering, vol. 18, No. 6, June (2006).

DOI: 10.1109/tkde.2006.87

Google Scholar

[4] R. Pereira, I. Ricarte, F. Gomide, Information Retrieval with FROM: The Fuzzy Relational Ontological Model, International Journal Of Intellegent Systems, vol. 24, 340-356, (2009).

DOI: 10.1002/int.20339

Google Scholar

[5] A. Nawaz and A. Khanum, Ranked Neuro Fuzzy Inference System (RNFIS) for Information Retrieval, Springer, ISNN 2011, Part I, LNCS 6675, p.578–586, (2011).

DOI: 10.1007/978-3-642-21105-8_67

Google Scholar

[6] M. A. A. Leite, I. L. M. Ricarte, Relating ontologies with a fuzzy information model, KnowlInfSyst, pp.619-651, (2013).

Google Scholar

[7] M. Fernández, I. Cantador , V. López, D. Vallet, P. Castells, E. Motta , Semantically enhanced Information Retrieval: An ontology-based approach, Web Semantics: Science, Services and Agents on the World Wide Web 9 , pp.432-452, (2011).

DOI: 10.1016/j.websem.2010.11.003

Google Scholar