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Parsing Strategies for Context-Sensitive Graph Grammars

Published: 20 September 2019 Publication History

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.

References

[1]
J. Rekers and A. Schürr (1997). Defining and Parsing Visual Languages with Layered Graph Grammars. Journal of Visual Languages and Computing, 8(1), 27--55.
[2]
D. Zhang, K. Zhang, and J. Cao (2001). A Context-sensitive Graph Grammar Formalism for the Specification of Visual Languages. The Computer Journal, 44(3), 187--200.
[3]
Y. Zou, J. Lü, and X. Tao (2019). Research on context of implicit context-sensitive graph grammars. Journal of Computer Languages, 51, 241--260. https://doi.org/10.1016/j.cola.2019.01.002
[4]
Y. Zou, X. Zeng, Y. Liu, and H. Liu (2019). Approach to Context Computation for Context-sensitive Graph Grammars. International DMS Conference on Visualization and Visual Languages, 21--29.
[5]
Y. Zou, X. Zeng, Y. Liu, and H. Liu (2017). Partial Precedence of Context-sensitive Graph Grammars. International Symposium on Visual Information Communication and Interaction, 16--23.
  1. Parsing Strategies for Context-Sensitive Graph Grammars

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    VINCI '19: Proceedings of the 12th International Symposium on Visual Information Communication and Interaction
    September 2019
    201 pages
    ISBN:9781450376266
    DOI:10.1145/3356422
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    • East China Normal University

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 20 September 2019

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    Author Tags

    1. Context matching
    2. Context-sensitive graph grammars
    3. Parsing algorithm
    4. Partitioning of productions
    5. Strategy
    6. Visual languages

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    Overall Acceptance Rate 71 of 193 submissions, 37%

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