Parsing Strategies for Context-Sensitive Graph Grammars

Abstract

Context-sensitive graph grammars have been suitable formalisms for specifying visual programming languages, as they are intuitive, sufficient expressive and equipped with parsing mechanisms. Parsing has been a fundamental issue in the research of context-sensitive graph grammars. However, the existent parsing algorithms are either inefficient or confined to a minority of graph grammars. This paper presents two strategies for general parsing algorithms, one is context matching, and the other is partitioning of productions. Through narrowing down the searching space of potential redexex, the two strategies can considerably improve the parsing performance.