An Information Retrieval System Centered on RDBMS using Fuzzy Querying

Information Retrieval (IR) mechanism for RDBMS (Relational Database Management System) is very multifarious, user need to know about SQL (Structured query language) to get records from RDBMS. The conventional query mechanism in relational database management system is not capable of adequate the requirements for dealing with queries which are in natural language. Lots of research work has been carried out in the field of natural language processing for RDBMS. Earlier, research work while querying data from relational databases frequently goes through one of two ways: the keyword-based approach and the structured query approach. Both the ways have their recompense and disadvantages. The structured query approach, while expressive and powerful, is not easy for naive users. The keyword-based approach is very friendly to use, but cannot express complex query intent accurately. In this paper we have proposed an IR system which will use natural language based querying for query processing for complex queries. Query processor is based on Fuzzy querying. We will implement a tool which can execute complex query on natural language based querying.