JOURNAL ARTICLE

Optimizing an Arabic Query using Comprehensive Query Expansion Techniques

Mohammed OtairGhassan KanaanRaed Kareem Kanaan

Year: 2013 Journal:   International Journal of Computer Applications Vol: 71 (17)Pages: 42-49

Abstract

By utilizing a search engine for the inquired object, the user may get what he has looked for.However, in the average; the number of words the user comes up with for a query is two or three in general [23].This mostly causes a number of problems.To overcome such problems, various query expansion techniques have been developed.However, none of them are asserted to present the optimal solution, especially in Arabic language because its complex morphological structure.Thus, the main objective of this paper is to optimize Arabic queries using comprehensive combination of these expansion techniques that can be used to enhance the process of query expansion and to retrieve the maximum number of the relevant documents for the Arabic user's query.The paper found that the developed system improved the recall and precision over couples of separated techniques.This method gets the benefits of both expansion approaches: interactive and automatic query; because the inquired object is automatically expanded and users are discretely engaged in query expansion.

Keywords:
Computer science Query expansion Query optimization Arabic Information retrieval Web search query Sargable Search engine Linguistics

Metrics

1
Cited By
0.30
FWCI (Field Weighted Citation Impact)
62
Refs
0.61
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Data Management and Algorithms
Physical Sciences →  Computer Science →  Signal Processing
Information Retrieval and Search Behavior
Physical Sciences →  Computer Science →  Information Systems
Advanced Database Systems and Queries
Physical Sciences →  Computer Science →  Computer Networks and Communications

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