Enhance Inverted Index Using in Information Retrieval | ||
| Engineering and Technology Journal | ||
| Article 1, Volume 34, 2B, February 2016, Pages 302-310 PDF (669.13 K) | ||
| DOI: 10.30684/etj.34.2B.13 | ||
| Authors | ||
| Alia Karim Hassan; Duaa Enteesha mhawi | ||
| Abstract | ||
| This paper proposes a method to represent the first step in information retrieval (IR) (that prepare the document set (preprocessing), In Information retrieval systems, tokenization is an integral part whose prime objective is to identify the token and their count. In this paper, an effective tokenization approach which is based on proposed new method called enhance inverted index (EII). The result shows that efficiency/ effectiveness of the proposed algorithm. Tokenization on documents helps to satisfy user’s information need more precisely and reduced search sharply, believed to be a part of information retrieval. Pre-processing 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 generates its scoring and gives reduced search space. The comparative analysis based on the two parameters; reduce the time of search space, Pre-processing time | ||
| Keywords | ||
| Information retrieval; enhance inverted index | ||
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