Graph-based data models have recently gained much popularity as powerful means for data representation in several database application areas. Notable examples of application domains where data is naturally represented in graph-based form are knowledge bases, biological and chemical databases, Web-scattered data, healthcare, personal information management (PIM) and enterprise information management (EIM) systems, social networks, just to mention a few. The largeness and complexity of datasets in these domains make their querying a really challenging task.

The overall goal of the GraphQ workshop is to bring people from different fields together, exchange research ideas and results, and encourage discussion about how to efficiently and effectively support graph queries in different application domains. GraphQ seeks at providing the opportunity for inspiration and cross-fertilization for the many research groups working on graph-structured data, with a particular focus on the querying issues.

The workshop is co-located with The 17th International Conference on Extending Database Technology / 17th International Conference on Database Theory (EDBT/ICDT 2014 Joint Conference).