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The Data Model Resource Book, Volume 3: Universal Patterns for Data Modeling
book

The Data Model Resource Book, Volume 3: Universal Patterns for Data Modeling

by Paul Agnew, Len Silverston
January 2009
Beginner to intermediate
641 pages
26h 48m
English
Wiley
Content preview from The Data Model Resource Book, Volume 3: Universal Patterns for Data Modeling
Silverston c05.tex V2 - 11/21/2008 3:04am Page 189
What Are Types, Categorizations, and Taxonomies? 189
The relevance of each pattern
Insights into each pattern
When to use and not to use different patterns
A synopsis of each of the patterns, pros, and cons
What Are Types, Categorizations, and Taxonomies?
Types, categories, and taxonomies are closely related concepts, but each has a
slightly different meaning. Each of the patterns described in this chapter may
support a type, category, and/or a taxonomy.
Types may be defined as ‘‘a number of things or persons sharing a particular
characteristic, or set of characteristics that cause them to be regarded as a group,
more or less precisely defined or designated.’’
3
In our patterns, a type entity
classifies the ‘base’ entity we are trying to classify in a very simple way. For
example, if we are classifying an ORDER, then there may be a related ORDER
TYPE that would contain instances of ‘‘Sales Order’’ or ‘‘Purchase Order’’
which could be considered types of orders.
Categorization can be defined as ‘‘any general or comprehensive division.’’
4
The key difference between a categorization and a type is that a categorization
is more comprehensive than a type, and it involves different ways to classify
an entity, that is, a categorization includes many different ’’types of types’’.
For example, a person may be categorized many different ways (e.g., by level
of income, ...
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Publisher Resources

ISBN: 9780470178454Other