Document Details

Document Type : Article In Journal 
Document Title :
Semantic Clustering Approach Based Multi-agent System for Information Retrieval on Web
نظام استرجاع للمعلومات على شبكة الويب متعدد الوكلاء ومعتمد على أسلوب التجميع الدلالي للمستندات
 
Subject : E-Learning 
Document Language : English 
Abstract : Document clustering is an important technology which helps users to organize the large amount of online information, especially after the rapid growth of the Web. This paper focuses on semantic document clustering method and its application in search engine. We proposed a multi-agent based information retrieval system to enhance the search process. The agents retrieve the results of Web search engine and organize the results by clustering them into different categories for a given query. We utilized WordNet ontology and several approaches to cluster results in appropriate category according to WordNet synsets. The experiment shows that semantic clustering work better than original clustering 
ISSN : 1738-7906 
Journal Name : IJCSNS International Journal of Computer Science and Network Security 
Volume : 2 
Issue Number : 1 
Publishing Year : 1433 AH
2012 AD 
Article Type : Article 
Added Date : Wednesday, June 27, 2012 

Researchers

Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
فتحي البرعي عيسىEassa, Fathy ElbouraeyInvestigator fathy55@yahoo.com
بسمه السلميAlsulami, Bassma Researcher  
ميسون ابوالخيرAbulkhair, Maysoon ResearcherDoctorate 

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