Sense-Based Arabic Information Retrieval Using Harmony Search Algorithm

Authors

  • Alia Abdul Hassan University of Technology
  • Mustafa Hadi University of Technology

DOI:

https://doi.org/10.25195/ijci.v43i2.59

Keywords:

Arabic Information Retrieval, Word sense Disambiguation, Query Expansion, Harmony Search

Abstract

Information Retrieval (IR) is a field of computer science that deals with storing, searching, and retrieving
documents that satisfy the user need. The modern standard Arabic language is rich in multiple meanings (senses) for many
words and this is substantially due to lack of diacritical marks. The task for finding appropriate meanings is a key demand in
most of the Arabic IR applications. Actually, the successful system should not be interested only in the retrieval quality and
oblivious to the system efficiency. Thus, this paper contributes to improve the system effectiveness by finding appropriate
stemming methodology, word sense disambiguation, and query expansion for addressing the retrieval quality of AIR. Also, it
contributes to improve the system efficiency through using a powerful metaheuristic search called Harmony Search (HS)
algorithm inspired from the musical improvisation processes. The performance of the proposed system outperforms the one in
the traditional system in a rate of 19.5% while reduces the latency in an approximate rate of 0.077 second for each query.

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Author Biographies

Alia Abdul Hassan, University of Technology

Computer Science Department

Mustafa Hadi, University of Technology

Computer Science Department

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Published

2017-12-31

Issue

Vol. 43 No. 2 (2017): Iraqi Journal for Computers and Informatics

Section

Articles

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