Reference Scheme Modeling

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Author(s): Terry Halpin (INTI International University, Malaysia)
Copyright: 2019
Pages: 28
Source title: New Perspectives on Information Systems Modeling and Design
Source Author(s)/Editor(s): António Miguel Rosado da Cruz (Polytechnic Institute of Viana do Castelo, Portugal)and Maria Estrela Ferreira da Cruz (Polytechnic Institute of Viana do Castelo, Portugal)
DOI: 10.4018/978-1-5225-7271-8.ch010

Keywords: Data Warehousing / Information Science Reference / Library & Information Science / Systems and Software Engineering

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Abstract

In natural language, individual things are typically referenced by proper names or definite descriptions. Data modeling languages differ considerably in their support for such linguistic reference schemes. Understanding these differences is important both for modeling reference schemes within such languages and for transforming models from one language to another. This chapter provides a comparative review of reference scheme modeling within the Unified Modeling Language (version 2.5.1), the Barker dialect of entity relationship modeling, Object-Role Modeling (version 2), relational database modeling, the Web Ontology Language (version 2.0), and LogiQL (an extended form of datalog). The authors identify which kinds of reference schemes can be captured within these languages as well as those reference schemes that cannot be captured. The analysis covers simple reference schemes, compound reference schemes, disjunctive reference, and context-dependent reference schemes.

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