# Research on the Top-Down Parsing Method for Context-Sensitive Graph Grammars

**Authors:** Yi Wang, XiaoQin Zeng, Han Ding

PMC · DOI: 10.1371/journal.pone.0142776 · PLoS ONE · 2015-11-30

## TL;DR

This paper introduces a top-down parsing method for graph grammars to reduce time complexity.

## Contribution

A novel top-down parsing method is proposed to reduce the complexity of context-sensitive graph grammar parsing.

## Key findings

- The top-down method avoids subgraph isomorphism judgment.
- The new method significantly reduces time complexity compared to bottom-up approaches.

## Abstract

The parsing problem is one of the key problems of graph grammars. The typical parsing algorithm uses the bottom-up method. The time-complexity of this method is high, and it is difficult to apply. In order to reduce the time-complexity, this paper uses the top-down method for parsing. This method avoids the subgraph isomorphism judgment and selects the productions specifically, so that the time-complexity is greatly reduced.

## Full-text entities

- **Diseases:** LGG (MESH:D016369), CGG (MESH:C566443), EGG (MESH:D019292)
- **Chemicals:** Ni (MESH:D009532), CGG (-)

## Full text

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## Figures

12 figures with captions in the complete paper: https://tomesphere.com/paper/PMC4664237/full.md

## References

12 references — full list in the complete paper: https://tomesphere.com/paper/PMC4664237/full.md

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Source: https://tomesphere.com/paper/PMC4664237