The Integrated Organization of Data and Knowledge Based on Distributed Hash

Knowledge graph provides a network organization and efficient retrieval method for massive information. However, with the explosive growth of data volume, the shortcomings of traditional storages of knowledge graphs in terms of query speed, complex relationship query and other aspects point out that there is an urgent need for a new and more efficient way to represent and address knowledge graphs. We have designed an integrated organizational structure of data and knowledge based on distributed hash, and implemented a test system according to the architecture. We conduct an experiment and performance analysis to verify its feasibility.