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Comprehensive Study on Information Retrieval:Arabic Document Indexing


Affiliations
1 Department of CS, Just University, Jordan
     

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There are many hot topics related to information retrieval paradigm, and one of these important fields is Automatic text indexing that aims to make process of online retrieving documents easier for the web searchers. In this paper we intend to introduced a comprehensive study on Indexing Arabic Documents, since there have been little works deals with. The introduced papers here addressed this problem from deferent views, some deals with single-term indexing while others deal with phrase indexing, other researchers made comparisons between deferent techniques and gave us preferability to one against others based on some experimental results. On the other hand, some papers proposed new technique or made some enhancements on existing ones either depends on statistical or un-statistical methods. The rest of papers proposed tools as key-terms extractors to be used in text indexing. Till now there are no optimal suggested solutions that solve the indexing problem that could be considered as standard mechanism.

Keywords

Information Retrieval, Automatic Indexing, Phrase Indexing, Key-Term Extractors.
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  • Comprehensive Study on Information Retrieval:Arabic Document Indexing

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Authors

Ismail Hmeidi
Department of CS, Just University, Jordan
Hisham A. Shehadeh
Department of CS, Just University, Jordan
Abdalrhman A. Almodawar
Department of CS, Just University, Jordan
Mustafa M. Daraghmeh
Department of CS, Just University, Jordan

Abstract


There are many hot topics related to information retrieval paradigm, and one of these important fields is Automatic text indexing that aims to make process of online retrieving documents easier for the web searchers. In this paper we intend to introduced a comprehensive study on Indexing Arabic Documents, since there have been little works deals with. The introduced papers here addressed this problem from deferent views, some deals with single-term indexing while others deal with phrase indexing, other researchers made comparisons between deferent techniques and gave us preferability to one against others based on some experimental results. On the other hand, some papers proposed new technique or made some enhancements on existing ones either depends on statistical or un-statistical methods. The rest of papers proposed tools as key-terms extractors to be used in text indexing. Till now there are no optimal suggested solutions that solve the indexing problem that could be considered as standard mechanism.

Keywords


Information Retrieval, Automatic Indexing, Phrase Indexing, Key-Term Extractors.