Research Article
Semantic Information Retrieval Model: Fuzzy Ontology Approach
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 91 - Issue 13 |
| Published: April 2014 |
| Authors: Zeinab E. Attia, Ahmed M. Gadallah, Hesham A. Hefny |
10.5120/15940-5156
|
Zeinab E. Attia, Ahmed M. Gadallah, Hesham A. Hefny . Semantic Information Retrieval Model: Fuzzy Ontology Approach. International Journal of Computer Applications. 91, 13 (April 2014), 9-14. DOI=10.5120/15940-5156
@article{ 10.5120/15940-5156,
author = { Zeinab E. Attia,Ahmed M. Gadallah,Hesham A. Hefny },
title = { Semantic Information Retrieval Model: Fuzzy Ontology Approach },
journal = { International Journal of Computer Applications },
year = { 2014 },
volume = { 91 },
number = { 13 },
pages = { 9-14 },
doi = { 10.5120/15940-5156 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2014
%A Zeinab E. Attia
%A Ahmed M. Gadallah
%A Hesham A. Hefny
%T Semantic Information Retrieval Model: Fuzzy Ontology Approach%T
%J International Journal of Computer Applications
%V 91
%N 13
%P 9-14
%R 10.5120/15940-5156
%I Foundation of Computer Science (FCS), NY, USA
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.
References
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