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An Intelligent IR for Natural Language Query Processing using Fuzzy Logic

Author(s):

Ashish Tamrakar , Dr. C.V. RAMAN UNIVERSITY BILASPUR; Dr.Vishnu Kumar Mishra, BHARTI COLLAGE DURG

Keywords:

IR, NLDBR, Fuzzy sets

Abstract

NLP (Natural language processing) is a technique for the mechanical analysis and illustration of human language. NLP is a IR (Information retrieval) systems which are shabby for discovery, within a immense text database, containing details desirable by a user. Natural language based IR system will be much constructive. Natural language processing based IR systems are extremely competent to indicate and manipulate the obscure query as complex and uncertain relationship presented among them. The conventional query in relational database management system is not capable of satisfying the needs for dealing with queries which are in natural language. In this paper we have discussed about a Intelligent IR’s and some fuzzy based query system, we have proposed an intelligent IR system based on natural language processing which uses fuzzy logic for query processing for complex queries. We have implemented a software tool which can execute complex query on natural language and we can fetch the information from the database very effortlessly which uses NLDBR architecture.

Other Details

Paper ID: IJSRDV4I20930
Published in: Volume : 4, Issue : 2
Publication Date: 01/05/2016
Page(s): 876-879

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