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Research and Innovations
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Faculty of Computing and Information Technology
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 Type
Dr Grade
Email
فتحي البرعي عيسى
Eassa, Fathy Elbouraey
Investigator
fathy55@yahoo.com
بسمه السلمي
Alsulami, Bassma
Researcher
ميسون ابوالخير
Abulkhair, Maysoon
Researcher
Doctorate
Files
File Name
Type
Description
33799.pdf
pdf
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