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A Semiotics Approach to Semantic Mismatches

机译:语义不匹配的符号学方法

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This paper deals with modeling issues that are common to semiotics and software engineering. A major problem is that vague notions of modeling lead to difficulties in building real-world representations for use in the software development life cycle. Specifically, this paper focuses on building a consistent representation that eliminates semantic mismatches through analysis of semiotics. Semantic mismatches occur when the same term is associated with multiple concepts. Semiotics provides a good theoretical foundation for UML research, since a UML diagram can be considered a sign made up of signs. This paper introduces a new approach based on the so-called Flowthing Model (FM) to represent semiotics notions of sign, interpretant, and object, for use in studying the problem of semantic mismatches. The conclusion is that diagrammatic UML representation can lead to the appearance of such problems and that FM description provides separate streams such that no mixing can occur among terms as things that flow.
机译:本文讨论了符号学和软件工程中常见的建模问题。一个主要问题是,模糊的建模概念导致在构建用于软件开发生命周期的实际表示形式时遇到困难。具体而言,本文着重于构建一个一致的表示形式,以通过对符号学的分析消除语义上的不匹配。当同一术语与多个概念相关联时,就会发生语义不匹配。符号学为UML研究提供了良好的理论基础,因为可以将UML图视为由符号组成的符号。本文介绍了一种基于所谓的流动模型(Flowthing Model,FM)的新方法,用于表示符号,解释者和对象的符号学概念,用于研究语义不匹配问题。结论是,UML的图示表示可能导致此类问题的出现,并且FM描述提供了单独的流,因此在流动的术语之间不会发生混合。

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