Sense-Based Arabic Information Retrieval Using Harmony Search Algorithm

Abstract

Information Retrieval (IR) is a field of computer science that deals with storing, searching, and retrievingdocuments that satisfy the user need. The modern standard Arabic language is rich in multiple meanings (senses) for manywords and this is substantially due to lack of diacritical marks. The task for finding appropriate meanings is a key demand inmost of the Arabic IR applications. Actually, the successful system should not be interested only in the retrieval quality andoblivious to the system efficiency. Thus, this paper contributes to improve the system effectiveness by finding appropriatestemming methodology, word sense disambiguation, and query expansion for addressing the retrieval quality of AIR. Also, itcontributes 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 inthe traditional system in a rate of 19.5% while reduces the latency in an approximate rate of 0.077 second for each query.

Distributed Information Retrieval Based On Metaheuristic Search and Query Expansion

“…Improvement of the quality of IR using the word sense disambiguation (WSD) was subject of controversy among a lot of authors. However, the recent researches such as in [8], [9] pay tribute to the positive role for using the WSD to improve the IR systems. Query expansion is one of the means to improve the IR using the WSD.…”

“…They used CACM and RCV1 corpuses to test their experiments. The previous works published recently in [8], [9] present new techniques use the Artificial Bee Colony (ABC) approach to address the problem of using the Word sense Disambiguation (WSD) in the centralized IR systems. The original ABC algorithm was modified to suit the required solutions.…”