Model Based Development of Data Integration in Graph Databases Using Triple Graph Grammars

Alqahtani, Abdullah; Heckel, Reiko

doi:10.1007/978-3-030-04771-9_29

Cited by 2 publications

(2 citation statements)

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“…In [13], the main features of a data management system based on graphs have been proposed where the underlying typed attributed data graphs are different from those of RDF and SPARQL. In [2], triple graph grammars (TGG) have also been used for data modelling and model transformation rules to be compiled into Graph Data Bases code for execution.…”

Section: Discussionmentioning

confidence: 99%

“…Let m 1 , ..., m k be the matches from L to G. Consider the basic construct query (k L, k R). Let m be the match from k L to G that coincides with m i on the i-th component of k L. The high-level query result of (L, R) against G is the result H high of applying the POIM transformation map PoIm k L,k R to the match m : k L → G, as in Diagram (2).…”

Section: The High-level Calculusmentioning

confidence: 99%

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An Algebraic Graph Transformation Approach for RDF and SPARQL

Duval

Echahed

Prost

2020

Electron. Proc. Theor. Comput. Sci.

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We consider the recommendations of the World Wide Web Consortium (W3C) about RDF framework and its associated query language SPARQL. We propose a new formal framework based on category theory which provides clear and concise formal definitions of the main basic features of RDF and SPARQL. We define RDF graphs as well as SPARQL basic graph patterns as objects of some nested categories. This allows one to clarify, in particular, the role of blank nodes. Furthermore, we consider basic SPARQL CONSTRUCT and SELECT queries and formalize their operational semantics following a novel algebraic graph transformation approach called POIM.

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Section: Discussionmentioning

confidence: 99%

Section: The High-level Calculusmentioning

confidence: 99%