Methodologies for semi-automated conceptual data modeling from requiremethodologies

Il Yeol Song, Yongjun Zhu, Hyithaek Ceong, Ornsiri Thonggoom

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)


Conceptual modeling is the foundation of system analysis and design methodologies. It is challenging because it requires a clear understanding of an application domain and the ability to translate the requirement specification into a conceptual data model. Semi-automated conceptual data modeling is a process of using an intelligent tool to aid the modeler for the purpose of building a quality conceptual data model. In this paper, we first present six categories of methodologies that can be used for developing conceptual data models. We then describe the characteristics of each category, compare these characteristics, and present related work of each category. We finally suggest a framework for semi-automatically generating conceptual data models from requirements and suggest challenging research topics.

Original languageEnglish
Title of host publicationConceptual Modeling - 34th International Conference, ER 2015
EditorsÓscar Pastor López, Mong Li Lee, Stephen W. Liddle, Paul Johannesson, Andreas L. Opdahl
PublisherSpringer Verlag
Number of pages14
ISBN (Print)9783319252636
Publication statusPublished - 2015
Event34th International Conference on Conceptual Modeling, ER 2015 - Stockholm, Sweden
Duration: 2015 Oct 192015 Oct 22

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference34th International Conference on Conceptual Modeling, ER 2015

Bibliographical note

Publisher Copyright:
© Springer International Publishing Switzerland 2015.

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)


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