Arabic document retrieval using Latent Semantic Indexing

Abstract

Dramatic advances in electronic and computer technology have led to the advent of what has been termed as the information age. These days, information is readily available through electronic and networked media in colossal quantities and on an enormous variety of subjects. This information explosion has resulted in a great demand for efficient and effective means for organizing and indexing the data, so that we may retrieve useful information when it is required. One such area is that of document indexing. Researchers have long advanced this subject, especially for the English language. Very little has been done on Arabic. In this thesis, we are concerned with indexing Arabic text. In the literature we found that most of the work done in Arabic information retrieval is based on the concept of stemming and many algorithms or approaches are proposed. In this thesis, we are concerned with retrieval of information based on semantic of the words. So, we developed a system for the Arabic document retrieval based on the idea of Latent Semantic Indexing. Latent semantic indexing does not require a lot of rules or root derivation algorithms. In addition, results show that latent semantic indexing performs well with respect to