AbstractIn the first half of this paper, we give an introductory survey on graph grammars that provide rule-based mechanisms for generating, manipulating and analyzing graphs. In the second half, two potential applications of graph-grammar concepts to semantic networks are indicated
AbstractA graph grammar is a mechanism for generating sets of graphs (called graph languages). This ...
Graphics are graphs with attributes at their vertices. Graphic grammars are natural extensions of gr...
AbstractA central feature that distinguishes graph grammars (we consider grammars generating sets of...
AbstractIn the first half of this paper, we give an introductory survey on graph grammars that provi...
Graph grammars are graph replacement systems and can be therefore regarded as a generalization of we...
Graph grammars are graph replacement systems and can be therefore regarded as a generalization of we...
Directed graphs are an intuitive and versatile representation of natural language meaning because th...
Formal methods are scarcely used in industrial applications. Industrial strength tools and education...
Within the data mining community there has been a lot of interest in mining and learning from graphs...
If the aim of this dissertation had to be summarized in a single sentence, it could be algebraizatio...
Many graph mining tasks involve search over languages of graphs. Several approaches to generate grap...
Graph grammars originated in the late 60s, motivated by considerations about pattern recognition and...
A key problem in semantic parsing with graph-based semantic representations is graph parsing, i.e. c...
We argue in favor of using a graph-based representation for language meaning and propose a novel lea...
AbstractA semantic network is a graph of the structure of meaning. This article introduces semantic ...
AbstractA graph grammar is a mechanism for generating sets of graphs (called graph languages). This ...
Graphics are graphs with attributes at their vertices. Graphic grammars are natural extensions of gr...
AbstractA central feature that distinguishes graph grammars (we consider grammars generating sets of...
AbstractIn the first half of this paper, we give an introductory survey on graph grammars that provi...
Graph grammars are graph replacement systems and can be therefore regarded as a generalization of we...
Graph grammars are graph replacement systems and can be therefore regarded as a generalization of we...
Directed graphs are an intuitive and versatile representation of natural language meaning because th...
Formal methods are scarcely used in industrial applications. Industrial strength tools and education...
Within the data mining community there has been a lot of interest in mining and learning from graphs...
If the aim of this dissertation had to be summarized in a single sentence, it could be algebraizatio...
Many graph mining tasks involve search over languages of graphs. Several approaches to generate grap...
Graph grammars originated in the late 60s, motivated by considerations about pattern recognition and...
A key problem in semantic parsing with graph-based semantic representations is graph parsing, i.e. c...
We argue in favor of using a graph-based representation for language meaning and propose a novel lea...
AbstractA semantic network is a graph of the structure of meaning. This article introduces semantic ...
AbstractA graph grammar is a mechanism for generating sets of graphs (called graph languages). This ...
Graphics are graphs with attributes at their vertices. Graphic grammars are natural extensions of gr...
AbstractA central feature that distinguishes graph grammars (we consider grammars generating sets of...
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