Database research challenges and opportunities of big graph data

Large volumes of graph-structured data are becoming increasingly prevalent in areas such as: social and professional network analysis recommendation services, such as product advertisement, news and media alerts, learning resource recommendation, itinerary recommendation scientific computing: life and health sciences, physical sciences crime investigation and intelligence gathering telecoms network management, for dependency analysis, root cause analysis, location-based service provision linked open data geospatial data business process management: logistics, finance chains, fraud detection, risk analysis, asset management organization managemen