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Graph grammars according to the type of input and manipulated data: A survey
گرامر نمودار با توجه به نوع ورودی و دستکاری شده است داده ها: یک مرور-2018 Graph grammars which generate graphs are a generalization of Chomsky grammars that generate
strings. During the last decades there has been a remarkable development of graph grammars. Due to
their wide diversity of applications, graph grammars have received a particular attention from many
scientists and researchers. There has been applications of graph grammars in several areas such as
pattern recognition, data base systems, biological developments in organisms, semantics of programming
languages, compiler construction, software development environments, etc. In the literature, in some
surveys, graph grammars have been studied and classified according to some criteria such as: parallel
or sequential applicability of rules, embedding mechanism, type of generated graphs, etc. In addition to
this, as data play an important role more and more in different domains, we survey in this paper the vast
field of graph grammars by classifying them according to three criteria: the number of manipulated data
(single or multiple types), the nature of data (structured or unstructured), and finally the kind of data
(images, graphs, patterns, etc.). In particular, we consider that a graph grammar is well defined by five
components instead of four, namely: type of generated graphs (TG), a start graph (Z), a set of production
rules (P), a set of additional specifications of the rules (A), and the criterion that we additionally consider
which is the type of input and manipulated data (TD). This proposed formalism, especially with the added
fifth component, may serve to overcome some issues related to Big Data and Cloud Computing domains.
Keywords: Graph grammar ، Type of input and manipulated data ، Type of generated graph ، Big Data ، Cloud computing ، Application |
مقاله انگلیسی |