1,2,3Student, Department of Information Technology, Dwarkadas J. Sanghvi College of Engineering, ... more 1,2,3Student, Department of Information Technology, Dwarkadas J. Sanghvi College of Engineering, Mumbai, India 4Assistant Professor, Department of Information Technology, Dwarkadas J. Sanghvi College of Engineering, Mumbai, India ---------------------------------------------------------------------***---------------------------------------------------------------------Abstract Automatic Database Schema Generator is a tool that facilitates schema designing from Natural language based textual requirements as an input from the user, thus, automating the process of extracting probable entities and their attributes, identifying primary and foreign keys, etc. and thereby, eliminating time consuming requirement analysis phase in the project development lifecycle. This paper proposes how Natural language based textual requirements can be analysed to extract the entities from plain text and produce a database schema. Natural language text can tend to be ambiguous due to varied contextual mea...
1,2,3Student, Department of Information Technology, Dwarkadas J. Sanghvi College of Engineering, ... more 1,2,3Student, Department of Information Technology, Dwarkadas J. Sanghvi College of Engineering, Mumbai, India 4Assistant Professor, Department of Information Technology, Dwarkadas J. Sanghvi College of Engineering, Mumbai, India ---------------------------------------------------------------------***---------------------------------------------------------------------Abstract Automatic Database Schema Generator is a tool that facilitates schema designing from Natural language based textual requirements as an input from the user, thus, automating the process of extracting probable entities and their attributes, identifying primary and foreign keys, etc. and thereby, eliminating time consuming requirement analysis phase in the project development lifecycle. This paper proposes how Natural language based textual requirements can be analysed to extract the entities from plain text and produce a database schema. Natural language text can tend to be ambiguous due to varied contextual mea...
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