Identifying Entity and Attributes Using NLP and Generating Erdiagram

Abstract

In application development software, we need to model the data which is stored in a database. ER diagrams shows what type of data to be stored in the table or database. ER diagram can express the logical structure of the database graphically. The graphical representation of a system will be more comprehensible and easy to understand. The purpose of this paper is to identify entities and their attributes form user requirements using NLP and to combine requirement gathering technics and create tool for elicit entity and their attributes. In this study, we use NLP and its components for collecting entities and their attributes. The main aim of this paper is that to nd out entities and their attributes in order to generate diagrams such as ERDs. The purpose of this paper is to assist the business analyst and stakeholder to avoiding unnecessary work and complexity during the requirement analysis phase.