doi: 10.7763/IJCTE.2013.V5.670
UMagic! THE UML Modeler for Text Documents
Iram Shahzadi1
, ,
Kiran Fatima2 , ,
- 1Al-Khawarizmi Institute of Computer Science University of Engineering & Technology, Lahore, Pakistan
- 2Department of Computer Science & Engineering, University of Engineering & Technology, Lahore, Pakistan
Abstract
In this paper we present an open source text mining system, UMagic, which identifies key domain entities and their relationships from text documents. UMagic extracts the key information components from the textual document and transforms them into UML based diagrams without human intervention. UMagic performs the linguists processing of given text using open source tool named GATE [1], to mark entities and relationships between these entities. Afterwards, it generates ER diagram from the marked text automatically. Though the task in hand is very complex, specifically when carried out in absolutely automated fashion, but it has immense applications in real world scenarios. From Software Engineering perspective, this approach can be employed to bridge the gap between the analysis phase and design phase of the software development process. This results in reduced time and complexity of the design phase, as well the improved degree of correctness of the design documents.
Keywords
- Artificial intelligence
- ERD
- GATE
- natural languare processing
- text mining
- UML
- XML
How to Cite
Iram Shahzadi, Qanita Ahmad, Kiran Fatima, Imran Sarwar, and Waqar Mahmood, "UMagic! THE UML Modeler for Text Documents," International Journal of Computer Theory and Engineering, vol. 5, no. 1, pp. 166-169, 2013. https://doi.org/10.7763/IJCTE.2013.V5.670
Copyright & License
Copyright © 2013 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).