Formal Concept Analysis for Arabic Web Search Results Clustering

Recently, Arabic language has become one of the most used languages in the web. However, the majority of existing solutions to improve web usage do not take into account the characteristics of this language. The process of browsing search results is one of the major problems with traditional web sea...

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Main Authors: Issam Sahmoudi, Abdelmonaime Lachkar
Format: Article
Language:English
Published: Springer 2017-04-01
Series:Journal of King Saud University: Computer and Information Sciences
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Online Access:http://www.sciencedirect.com/science/article/pii/S1319157816300696
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author Issam Sahmoudi
Abdelmonaime Lachkar
author_facet Issam Sahmoudi
Abdelmonaime Lachkar
author_sort Issam Sahmoudi
collection DOAJ
description Recently, Arabic language has become one of the most used languages in the web. However, the majority of existing solutions to improve web usage do not take into account the characteristics of this language. The process of browsing search results is one of the major problems with traditional web search engines, especially with ambiguous queries. Using a ranked list as return result of a specific user request is time consuming and the browsing style seems to not be user-friendly. In this paper, we propose to study how to integrate and adapt the Formal Concept Analysis (FCA) as a new system for Arabic Web Search Results Clustering based on their hierarchical structure. The effectiveness of our proposed system is illustrated by an experimental study using Arabic comprehensive set of documents from the Open Directory Project hierarchy as benchmark, where we compare our system with two others: Suffix Tree Clustering (STC) and Lingo. The comparison focuses on the quality of the clustering results and produced label by different systems. It shows that our system outperforms the two others.
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institution Kabale University
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spelling doaj-art-60f9c56b29e743f6b7b1e889009ac8102025-08-20T03:49:12ZengSpringerJournal of King Saud University: Computer and Information Sciences1319-15782017-04-0129219620310.1016/j.jksuci.2016.09.004Formal Concept Analysis for Arabic Web Search Results ClusteringIssam SahmoudiAbdelmonaime LachkarRecently, Arabic language has become one of the most used languages in the web. However, the majority of existing solutions to improve web usage do not take into account the characteristics of this language. The process of browsing search results is one of the major problems with traditional web search engines, especially with ambiguous queries. Using a ranked list as return result of a specific user request is time consuming and the browsing style seems to not be user-friendly. In this paper, we propose to study how to integrate and adapt the Formal Concept Analysis (FCA) as a new system for Arabic Web Search Results Clustering based on their hierarchical structure. The effectiveness of our proposed system is illustrated by an experimental study using Arabic comprehensive set of documents from the Open Directory Project hierarchy as benchmark, where we compare our system with two others: Suffix Tree Clustering (STC) and Lingo. The comparison focuses on the quality of the clustering results and produced label by different systems. It shows that our system outperforms the two others.http://www.sciencedirect.com/science/article/pii/S1319157816300696Arabic languageFormal Concept AnalysisWeb Search Results Clustering
spellingShingle Issam Sahmoudi
Abdelmonaime Lachkar
Formal Concept Analysis for Arabic Web Search Results Clustering
Journal of King Saud University: Computer and Information Sciences
Arabic language
Formal Concept Analysis
Web Search Results Clustering
title Formal Concept Analysis for Arabic Web Search Results Clustering
title_full Formal Concept Analysis for Arabic Web Search Results Clustering
title_fullStr Formal Concept Analysis for Arabic Web Search Results Clustering
title_full_unstemmed Formal Concept Analysis for Arabic Web Search Results Clustering
title_short Formal Concept Analysis for Arabic Web Search Results Clustering
title_sort formal concept analysis for arabic web search results clustering
topic Arabic language
Formal Concept Analysis
Web Search Results Clustering
url http://www.sciencedirect.com/science/article/pii/S1319157816300696
work_keys_str_mv AT issamsahmoudi formalconceptanalysisforarabicwebsearchresultsclustering
AT abdelmonaimelachkar formalconceptanalysisforarabicwebsearchresultsclustering