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Knowledge-Based Systems for Data Modelling

Knowledge-Based Systems for Data Modelling

Sabrina Šuman, Alen Jakupović, Francesca Gržinić Kuljanac
Copyright: © 2016 |Volume: 12 |Issue: 2 |Pages: 13
ISSN: 1548-1115|EISSN: 1548-1123|EISBN13: 9781466689299|DOI: 10.4018/IJEIS.2016040101
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MLA

Šuman, Sabrina, et al. "Knowledge-Based Systems for Data Modelling." IJEIS vol.12, no.2 2016: pp.1-13. http://doi.org/10.4018/IJEIS.2016040101

APA

Šuman, S., Jakupović, A., & Kuljanac, F. G. (2016). Knowledge-Based Systems for Data Modelling. International Journal of Enterprise Information Systems (IJEIS), 12(2), 1-13. http://doi.org/10.4018/IJEIS.2016040101

Chicago

Šuman, Sabrina, Alen Jakupović, and Francesca Gržinić Kuljanac. "Knowledge-Based Systems for Data Modelling," International Journal of Enterprise Information Systems (IJEIS) 12, no.2: 1-13. http://doi.org/10.4018/IJEIS.2016040101

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Abstract

Data modelling is a complex process that depends on the knowledge and experience of the designers who carry it out. The quality of created models has a significant impact on the quality of successive phases of information systems development. This paper, in short, reviews the data modelling process, the entity-relationship method (ERM) and actors in the data modelling process. Further, in more detail it presents systems, methods, and tools for the data modelling process and identifies problems that occur during the development phase of an information system. These problems also represent the authors' motivation for conducting research that aims to develop a knowledge-based system (KBS) in order to support the data modelling process by applying formal language theory (particularly translation) during the process of conceptual modelling. The paper describes the main identified characteristics of the authors' new KB system that are derived from the analysis of existing systems, methods, and tools for the data modelling process. This represents the focus of the research.

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