NLP for Automated Conceptual Data Modeling
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2016, Vol 18, Issue 1
Abstract
Abstract:One of the procedures for obtaining the better understanding of the system by splitting the large system into smaller parts, this procedure is termed as analysis. Manually creating softwareartifacts and building UML models from natural language is a complex job. We represent diagrammatically structure of data by ER diagram. This paper represents the use of heuristics picked up from the syntactic and semantic learningfor the automatic formation of database plan, which leads us to the identification and methodology to generate Entity-Relationship(ER) through NLP. The use of both syntactic and semantic heuristics is used as the system to obtain the critical ER parts, components, qualities and associations from the specifications. In this method, we take English as input from theclient and our framework at first create summary of that few paragraphs utilizing code quantityprinciple. The resultant summary is utilized in our automatic ER chart generation framework. Atlast a XMI record is made. This file can be pictured in any of the UML modeling tools. Experimental Results on the usage of the semantic heuristics demonstrate that these may help to further upgrade the outcomes in the modified differentiation of theER segments.
Authors and Affiliations
Suraj A. Jogdand, , Mr. Pramod B. Mali,
Keywords
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