scholarly journals Semantic Web based Information Retrieval System for the automatic integration framework

2006 ◽  
Vol 13C (1) ◽  
pp. 129-136
Author(s):  
Ok-Kyung Choi ◽  
Sang-Yong Han
1997 ◽  
Author(s):  
L. Rodney Long ◽  
Stanley R. Pillemer ◽  
Reva C. Lawrence ◽  
Gin-Hua Goh ◽  
Leif Neve ◽  
...  

Author(s):  
Mounira Chkiwa ◽  
Anis Jedidi ◽  
Faiez Gargouri

In this paper, the authors present an overall description of their information retrieval system which makes a practical collaboration between Semantic Web and Fuzzy logic in order to have profit from their advantages in the information retrieval domain. Their system is dedicated for kids, for this reason the semantic/fuzzy collaboration materialized must be in the background of the information retrieval process because such category of users cannot certainly control semantic web technologies neither fuzzy logic commands. In this paper, the authors present the different services proposed by their system and how they use Semantic Web and Fuzzy logic to develop it. Evaluation tests of the system using universal measures show clearly its efficiency.


Author(s):  
Mounira Chkiwa ◽  
Anis Jedidi ◽  
Faiez Gargouri

In this paper, the authors present an overall description of their information retrieval system which makes a practical collaboration between Semantic Web and Fuzzy logic in order to have profit from their advantages in the information retrieval domain. Their system is dedicated for kids, for this reason the semantic/fuzzy collaboration materialized must be in the background of the information retrieval process because such category of users cannot certainly control semantic web technologies neither fuzzy logic commands. In this paper, the authors present the different services proposed by their system and how they use Semantic Web and Fuzzy logic to develop it. Evaluation tests of the system using universal measures show clearly its efficiency.


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