RDF Gears, a data integration framework for the Semantic Web
E.P. Feliksik · Research Repository (Delft University of Technology) · 2011
This thesis describes the design and implementation of RDF Gears, a data integration framework for the Semantic Web. The RDF Gears Language combines the Semantic Web technologies with the Nested Relational Algebra. It provides an expressive Domain Specific Language for the development of workflows integrating RDF data with other sources. It allows Semantic Web developers and researchers to work on new, domain specific algorithms without wasting time on the implementation details of data transformation, storage and optimization. A web-based user interface is presented to create RGL workflows that are visualized with a graphical syntax. An execution engine is developed to function as a workflow interpreter. It implements aggressive pipelining, lazy evaluation and other optimizations. A comparison with the Silk Framework shows that this first implementation is already quite efficient.