JOURNAL ARTICLE

Semantic Information Retrieval Model: Fuzzy Ontology Approach

Zeinab E. AttiaAhmed M. GadallahHesham A. Hefny

Year: 2014 Journal:   International Journal of Computer Applications Vol: 91 (13)Pages: 9-14

Abstract

The paper proposes a multi-view information retrieval model.The model has the ability to deal with the multi-field topics problem using a predefined multi-field or multi-view fuzzy ontology.Respecting the natural relationship between concepts and terms, the model enhances the recall measure compared with previously proposed fuzzy ontology-based information retrieval models.It also proposes a ranking algorithm that ranks a set of relevant documents according to some criteria such as their relevance degree, confidence degree, and updating degree.

Keywords:
Computer science Information retrieval Ontology Fuzzy logic Natural language processing Artificial intelligence

Metrics

4
Cited By
1.61
FWCI (Field Weighted Citation Impact)
16
Refs
0.89
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Web Data Mining and Analysis
Physical Sciences →  Computer Science →  Information Systems
Semantic Web and Ontologies
Physical Sciences →  Computer Science →  Artificial Intelligence
Text and Document Classification Technologies
Physical Sciences →  Computer Science →  Artificial Intelligence

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