The following is a non-exhaustive list describing the scope of GRADES:

• vision papers describing potential applications and benefits of graph data management.

• descriptions of graph data management use cases and query workloads.

• experiences with applying data management technologies in such situations.

• experiences or techniques for specific operations such as traversals or RDF reasoning.

• proposals for benchmarks for data integration tasks (instance matching and ETL techniques).

• proposals for benchmarks for RDF and graph database workloads.

• evaluation of benchmark performance results on RDF or graph database systems.

• system descriptions covering RDF or graph database technology.

• data and index structures that can be used in RDF and graph database systems.

• query processing and optimization algorithms for RDF and graph database systems.

• methods and technique for measuring graph characteristics.

• methods and techniques for visualizing graphs and graph query results.

• proposals and experiences with graph query languages.