A Proposed Method for Documents Indexing

Abstract

In this paper, a new method is proposed for documents indexing based on constructing two tables, namely, words-information table and pages-information table. These two tables used to represent the first step in information retrieval (which prepare the documents set (preprocessing)). In Information retrieval systems, tokenization is an integrals part whose prime objective is to identifying the tokens and their count. In this paper, can be proposed an effective tokenization approach, which is based on proposed new method called documents indexing and results shows that efficiency of proposed algorithm. Tokenization on documents helps to satisfy user’s information need more precisely and reduced search sharply. Preprocessing of input document is an integral part of Tokenization, which involves preprocessing of documents and generates its respective tokens, which is the basis of these tokens. Probabilistic IR generate its scoring and gives reduced search space. Comparative analysis based on the two parameters; reduce the time of search space, Pre-processing time, and reduce the size of memory.