Fundamental assumptions in conceptual data modelling approaches

Authors:
Mik Kim;Wusheng Zhang
Affiliations:
School of Business Information Technology, RMIT University, Australia;Centre for International Corporate Governance Research, Victoria University, Australia
Venue:
ICS'06 Proceedings of the 10th WSEAS international conference on Systems
Year:
2006

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Abstract

The purpose of this paper is to look at the fundamental assumptions to conceptual data modelling approaches that influence the entire development of data models in practice. Literature analysis suggests that although the major emphasis in the information systems research community has been on the fact-based approaches founded on objectivism, consideration should be given to taking both objectivism and subjectivism as a duality rather than taking one side of position. It is also suggested that the process of data modelling should be done by recognising and incorporating not only factual data and information but also different forms of organisational knowledge. Its' practical implications to data modellers therefore, is such that understanding both philosophical basis and the hidden knowledge is essential to capture the comprehensive application domain.