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Generalised Graph Grammars for Natural Language Processing

Oliver Robert Fox, Giacomo Bergami

TL;DR

A new query language for graph matching and rewriting is proposed overcoming {the declarative} limitation of Cypher while outperforming {Neo4j} on graph matching and rewriting by at least one order of magnitude.

Abstract

This seminal paper proposes a new query language for graph matching and rewriting overcoming {the declarative} limitation of Cypher while outperforming {Neo4j} on graph matching and rewriting by at least one order of magnitude. We exploited columnar databases (KnoBAB) to represent graphs using the Generalised Semistructured Model.

Generalised Graph Grammars for Natural Language Processing

TL;DR

A new query language for graph matching and rewriting is proposed overcoming {the declarative} limitation of Cypher while outperforming {Neo4j} on graph matching and rewriting by at least one order of magnitude.

Abstract

This seminal paper proposes a new query language for graph matching and rewriting overcoming {the declarative} limitation of Cypher while outperforming {Neo4j} on graph matching and rewriting by at least one order of magnitude. We exploited columnar databases (KnoBAB) to represent graphs using the Generalised Semistructured Model.
Paper Structure (1 section)

This paper contains 1 section.

Table of Contents

  1. Introduction