Methodologies for semi-automated conceptual data modeling from requiremethodologies

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

doi:10.1007/978-3-319-25264-3_2

Methodologies for semi-automated conceptual data modeling from requiremethodologies

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

Department of Library and Information Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Citations (Scopus)

Abstract

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 language	English
Title of host publication	Conceptual Modeling - 34th International Conference, ER 2015
Editors	Óscar Pastor López, Mong Li Lee, Stephen W. Liddle, Paul Johannesson, Andreas L. Opdahl
Publisher	Springer Verlag
Pages	18-31
Number of pages	14
ISBN (Print)	9783319252636
DOIs	https://doi.org/10.1007/978-3-319-25264-3_2
Publication status	Published - 2015
Event	34th International Conference on Conceptual Modeling, ER 2015 - Stockholm, Sweden Duration: 2015 Oct 19 → 2015 Oct 22

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9381
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	34th International Conference on Conceptual Modeling, ER 2015
Country/Territory	Sweden
City	Stockholm
Period	15/10/19 → 15/10/22

Bibliographical note

Publisher Copyright:
© Springer International Publishing Switzerland 2015.

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-319-25264-3_2

Cite this

Song, I. Y., Zhu, Y., Ceong, H., & Thonggoom, O. (2015). Methodologies for semi-automated conceptual data modeling from requiremethodologies. In Ó. P. López, M. L. Lee, S. W. Liddle, P. Johannesson, & A. L. Opdahl (Eds.), Conceptual Modeling - 34th International Conference, ER 2015 (pp. 18-31). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9381). Springer Verlag. https://doi.org/10.1007/978-3-319-25264-3_2

Song, Il Yeol ; Zhu, Yongjun ; Ceong, Hyithaek et al. / Methodologies for semi-automated conceptual data modeling from requiremethodologies. Conceptual Modeling - 34th International Conference, ER 2015. editor / Óscar Pastor López ; Mong Li Lee ; Stephen W. Liddle ; Paul Johannesson ; Andreas L. Opdahl. Springer Verlag, 2015. pp. 18-31 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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author = "Song, {Il Yeol} and Yongjun Zhu and Hyithaek Ceong and Ornsiri Thonggoom",

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Song, IY, Zhu, Y, Ceong, H & Thonggoom, O 2015, Methodologies for semi-automated conceptual data modeling from requiremethodologies. in ÓP López, ML Lee, SW Liddle, P Johannesson & AL Opdahl (eds), Conceptual Modeling - 34th International Conference, ER 2015. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9381, Springer Verlag, pp. 18-31, 34th International Conference on Conceptual Modeling, ER 2015, Stockholm, Sweden, 15/10/19. https://doi.org/10.1007/978-3-319-25264-3_2

Methodologies for semi-automated conceptual data modeling from requiremethodologies. / Song, Il Yeol; Zhu, Yongjun; Ceong, Hyithaek et al.

Conceptual Modeling - 34th International Conference, ER 2015. ed. / Óscar Pastor López; Mong Li Lee; Stephen W. Liddle; Paul Johannesson; Andreas L. Opdahl. Springer Verlag, 2015. p. 18-31 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9381).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Song, Il Yeol

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AB - 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.

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Song IY, Zhu Y, Ceong H, Thonggoom O. Methodologies for semi-automated conceptual data modeling from requiremethodologies. In López ÓP, Lee ML, Liddle SW, Johannesson P, Opdahl AL, editors, Conceptual Modeling - 34th International Conference, ER 2015. Springer Verlag. 2015. p. 18-31. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-25264-3_2

Methodologies for semi-automated conceptual data modeling from requiremethodologies

Abstract

Publication series

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Bibliographical note

All Science Journal Classification (ASJC) codes

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