Distributed Real-Time Knowledge Graph Serving (Invited Paper)

The acquisition of knowledge becomes scalable. Due to the great connectedness, knowledge data by its very nature are complex entity graphs with rich schemata. The machineprocessable knowledge keeps its pace with the phenomenal “Big Data” era. On the one hand, we have a revolutionary way of piling knowledge up; on the other hand, the technology of making the knowledge graph accessible, i.e. how to serve the knowledge to support real-life applications, evolves slowly. This paper presents our efforts of serving real-world knowledge graphs at scale for real-time query processing.