RDF has so far not been widely used in the context of graph rewriting tools. In this paper, the authors take AToMPM, a research-oriented meta-modelling and graph rewriting tool and extend it by adding RDF-based graph transformation functionality. Addressed is the graph matching problem, generating custom SPARQL queries for each rule pattern, and using them to efficiently perform matches on a source RDF graph.
Keywords: Data Transformation, Graph, SPARQL, CRUD
Author: Jukss, Maris
Date created: 2012-08-31 04:00:00.000
Time required: P30M
Educational use: instruction
Educational audience: student
Interactivity type: expositive
- Knows the SPARQL 1.1 Graph Store HTTP protocol for updating graphs on a web server (in "restful" style).
- Knows the SPARQL 1.1 Update language for updating, creating, and removing RDF graphs in a Graph Store
- Understands the difference between SQL query language (which operates on database tables) and SPARQL (which operates on RDF graphs).