Boundary NLC graph grammars--basic definitions, normal forms, and complexity
Information and Control
Handle NLC grammers and R. E. languages
Journal of Computer and System Sciences
Statecharts: A visual formalism for complex systems
Science of Computer Programming
Pretty patterns produced by hyperedge replacement
Proceedings of the International Workshop WG '87 on Graph-theoretic concepts in computer science
Parsing of edNLC-graph grammars for scene analysis
Pattern Recognition
Characteristics of edNLC-graph grammar for syntactic pattern recognition
Computer Vision, Graphics, and Image Processing
IEEE Transactions on Software Engineering
On structured graph grammars. I
Information Sciences: an International Journal
On structured graph grammars. II
Information Sciences: an International Journal
Early Experience with the Visual Programmer's WorkBench
IEEE Transactions on Software Engineering
Automating Visual Language Generation
IEEE Transactions on Software Engineering
A Visual Language Compiler for Information Retrieval by Visual Reasoning
IEEE Transactions on Software Engineering
QBD*: A Graphical Query Language with Recursion
IEEE Transactions on Software Engineering
An Iconic Programming System, HI-VISUAL
IEEE Transactions on Software Engineering
Linear and Context-Free Graph Grammars
Journal of the ACM (JACM)
Visual Languages and Visual Programming
Visual Languages and Visual Programming
Guest Editors' Introduction: Visual Programming
IEEE Transactions on Software Engineering
Parsing of graphs in linear time
Proceedings of the 2nd International Workshop on Graph-Grammars and Their Application to Computer Science
Graph Grammars as a generative tool in image understanding
Proceedings of the 2nd International Workshop on Graph-Grammars and Their Application to Computer Science
Graph grammars with node-label controlled rewriting and embedding
Proceedings of the 2nd International Workshop on Graph-Grammars and Their Application to Computer Science
Graphical program development with PECAN program development systems
SDE 1 Proceedings of the first ACM SIGSOFT/SIGPLAN software engineering symposium on Practical software development environments
Semantics-Based Inference Algorithms for Adaptive Visual Environments
IEEE Transactions on Software Engineering
A Parsing Methodology for the Implementation of Visual Systems
IEEE Transactions on Software Engineering
Automatic generation of intelligent diagram editors
ACM Transactions on Computer-Human Interaction (TOCHI)
Representing coordination and non-coordination in an american sign language animation
Proceedings of the 7th international ACM SIGACCESS conference on Computers and accessibility
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The diagrammatic approach to user interfaces for computer-aided software development toolkits, visual query systems, and visual programming environments, is based on the use of diagrams and charts traditionally drawn on paper. In particular, the VLG system (Visual Language Generator) has been proposed to generate icon-oriented visual languages customized for given applications. The syntactical model underlying the interpretation of a visual language in VLG has been designed to describe icon-oriented visual languages. In order to enable the VLG system to apply to any kind of graphical languages, like diagrammatic ones, it is necessary to find a more general syntactical model able to support both their generation and interpretation. This paper addresses the comprehension of the features that a grammatical formalism for nonlinear languages must have to match any requirement for an efficient parsing. To this aim, relation grammars support an easy implementation of a general parsing algorithm for multidimensional languages, parametric with respect to the rewriting rules of the grammar. We compare the expressive power of relation grammars to grammatical formalisms for graph grammars.