Data Analysis of Natural Language Querying Using NLP Interface

摘要

Data is one of the buzz words revolving around any new computational creation. Such data is to be related, manipulated and queried. Structured Query Language (SQL) is used to establish relational model with the data and retrieve necessary facts from the database. Non-experts will find it very difficult to interact and fetch information from the database as it is necessary to have knowledge about SQL. Recalling the keywords and the syntactic rules for joining the various tables in a relational database is another problem. Cases where the name of the attributeis referred in the root database may not be known or visible to the end user. Under such circumstances it is impossible to fetch the information even from a small single relation which leads to the failure of data extraction. This project aims in solving this issue by incorporating natural language called the Natural Language Interface Relational Database System (NLIRDS). It combines the features of the Artificial Intelligence with the Relational Database (RDBMS). Earlier systems were developed where the semantic maps were created manually, whereas in this system it is generated automatically.