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Methodologies for Semi-automated Conceptual Data Modeling from Requirements
Conference proceeding   Peer reviewed

Methodologies for Semi-automated Conceptual Data Modeling from Requirements

Il-Yeol Song, Yongjun Zhu, Hyithaek Ceong and Ornsiri Thonggoom
CONCEPTUAL MODELING, ER 2015, v 9381
01 Jan 2015
DOI: https://doi.org/10.1007/978-3-319-25264-3_2

Abstract

Computer Science Computer Science, Artificial Intelligence Computer Science, Information Systems Computer Science, Theory & Methods Science & Technology Technology
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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7 citations in Web of Science
11 citations in Scopus

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Computer Science, Artificial Intelligence
Computer Science, Information Systems
Computer Science, Theory & Methods
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