Welcome to GraphQ 2017
The growing scale and importance of graph data in several database application areas has recently driven much research efforts towards the development of data models and technologies for graph-data management. Life science databases, social networks, Semantic Web data, bibliographical networks, knowledge bases and ontologies, are prominent examples of application domains exhibiting data that is natural to represent in graph-based form. Datasets in these domains are often characterized by heterogeneity, complexity and largeness of contents that make the querying experience 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.