Information Retrieval Models

Author:

Krishnamurthy Saruladha1,V Akila1

Affiliation:

1. Pondicherry Engineering College, India

Abstract

Information retrieval is currently an active research field with the evolution of World wide web. The objective of this chapter is to provide an insight into the information retrieval definitions, process, models. Further how traditional information retrieval has evolved and adapted for search engines is also discussed. The information retrieval models have not only been used for search purpose it also supports cross lingual translation and retrieval tasks. This chapter also outlines the CLIR process in a brief manner. The tools which are usually used for experimental and research purpose is also discussed. This chapter is organized as Introduction to the concepts of information retrieval. Description of the information retrieval process, the information retrieval models, the role of external sources like ontologies in information retrieval systems. Finally the chapter provides an overview of CLIR and the tools used in developing IR systems is mentioned. Further the latest research directions in IR is explained.

Publisher

IGI Global

Reference18 articles.

1. Alkhammash. (2016). Designing Ontology for Association between Water Quality and Kidney Diseases for Medical Decision Support System. VI International Conference Industrial Engineering and Environmental Protection 2016 (IIZS 2016), Zrenjanin, Serbia.

2. Ashour, Sassi, Roy, Kausar, & Dey. (2016). MEDLINE Text Mining: An Enhancement Genetic Algorithm Based Approach for Document Clustering. In Applications of Intelligent Optimization in Biology and Medicine (pp. 267–287). Springer International Publishing.

3. Keyword-Based Sentiment Mining using Twitter

4. An Adaptation of the Vector-Space Model for Ontology-Based Information Retrieval

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3