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A Systematic Relationship Analysis for Modeling Information Domains
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Author(s): Joonhee Yoo (Rutgers University, USA)and Michael Bieber (New Jersey Institute of Technology, USA)
Copyright: 2001
Pages: 17
Source title:
Information Modeling in the New Millennium
Source Author(s)/Editor(s): Matti Rossi (Helsinki School of Economics, Finland)and Keng Siau (City University of Hong Kong, Hong Kong SAR)
DOI: 10.4018/978-1-878289-77-3.ch024
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Abstract
Many conceptual modeling and system design methodologies provide tools to help system designers to model the real world. No guidelines exist, however, for determining the relationships within conceptual domains or implementations. RNA (Relationship Navigation Analysis), based on a generic relationship taxonomy, provides a systematic way of identifying useful relationships in application domains. Developers can then implement each relationship as a link. Viewing an application domain from the relationship management point of view and modeling from a philosophy of maximum access provides a unique vantage point for application design. We present RNA and its generic relationship taxonomy, describing their use for system analysis.
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