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Selective Attribute Elimination for Categorical Data Specifications

机译:分类数据规范的选择性属性消除

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摘要

Semantic data specifications are important components of most object oriented software development methodologies. When making a semantic data specification, one has to classify the different kinds of entities that occur in the part of the real world one wants to specify. This classification can be done in two semantically equivalent ways: by putting them in different entity types, or by putting them in one entity type and distinguishing them by means of an attribute. This redundancy, which exists in almost all semantic data specification systems, leads to problems during the view integration process. If two software engineers have chosen to do this classification in a different way, it is hard to integrate their specifications.
机译:语义数据规范是大多数面向对象软件开发方法学的重要组成部分。在制定语义数据规范时,必须对要指定的现实世界中出现的不同种类的实体进行分类。可以通过两种在语义上等效的方式完成此分类:将它们置于不同的实体类型中,或者将它们置于一种实体类型中,并通过属性对其进行区分。几乎所有语义数据规范系统中都存在这种冗余,从而导致视图集成过程中出现问题。如果两个软件工程师选择以不同的方式进行此分类,则很难集成他们的规范。

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