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An NCE Context-sensitive Graph Grammar and its Application to Visual Languages

机译:一个NCE上下文敏感图语法及其应用于视觉语言的应用

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In this paper we describe a neighborhood-controlled embedding (NCE) context-sensitive graph grammar. The grammar can be flexibly used to formalize the graph-syntax rules of a wide range of visual languages. We discuss parsability, that is, whether or not a derivation can be found for a given graph by the reverse application of the grammar's productions. We also discuss the composition of the production copies. The composition of the production copies is of theoretical and practical significance in the definition of graph-rewriting rules that can be used to produce sub-graphs of desired structures on the basis of a given graph grammar. We also outline a system called GRAVIS that we have implemented. GRAVIS is intended to support the design of visual languages based on NCE context-sensitive graph grammars.
机译:在本文中,我们描述了一个邻域控嵌入(NCE)上下文敏感图语法。语法可以灵活地用于模拟各种视觉语言的图形语法规则。我们讨论了解析性,即,通过反向应用程序的制作,可以为给定图表找到派生。我们还讨论了生产副本的组成。生产拷贝的组成是在图形重写规则的定义中的理论和实际意义,其可用于基于给定的图格语法产生所需结构的子图。我们还概述了一个叫做的系统,我们已经实施了Gravis。 Gravis旨在支持基于NCE上下文敏感图语法的视觉语言设计。

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