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Reference Scheme Modeling
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AI
DOI：10.4018/978-1-5225-7271-8.ch010.png)
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Abstract
En 中文
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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