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A Study on Models and Methods of Information Retrieval System

A Study on Models and Methods of Information Retrieval System
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Author(s): Manisha Malhotra (Chandigarh University, India) and Aarti Singh (Guru Nanak Girls College, Yamuna Nagar, India)
Copyright: 2017
Pages: 26
Source title: Web Semantics for Textual and Visual Information Retrieval
Source Author(s)/Editor(s): Aarti Singh (Guru Nanak Girls College, Yamuna Nagar, India), Nilanjan Dey (Techno India College of Technology, India), Amira S. Ashour (Tanta University, Egypt & Taif University, Saudi Arabia) and V. Santhi (VIT University, India)
DOI: 10.4018/978-1-5225-2483-0.ch003

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Abstract

Information Retrieval (IR) is the action of getting the information applicable to a data need from a pool of information resources. Searching can be depends on text indexing. Whenever a client enters an inquiry into the system, an automated information retrieval process becomes starts. Inquiries are formal statements which is required for getting an input (Rijsbergen, 1997). It is not necessary that the given query provides the relevance information. That query matches the result of required information from the database. It doesn't mean it gives the precise and unique result likewise in SQL queries (Rocchio, 2010). Its results are based on the ranking of information retrieved from server. This ranking based technique is the fundamental contrast from database query. It depends on user application the required object can be an image, audio or video. Although these objects are not saved in the IR system, but they can be in the form of metadata. An IR system computes a numeric value of query and then matches it with the ranking of similar objects.

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