Research on Knowledge Storage and Query Technology Based on General Graph Data Processing Framework

With the development of the Semantic Web, more and more data is currently managed in the form of knowledge graphs. Different knowledge storage and query modes have their own advantages, but also have shortcomings, and there is no unified standard. Aiming at the current deficiencies in knowledge storage and knowledge query technology, this paper proposes a knowledge storage and query scheme based on TinkerPop graph computing framework, a general graph data processing framework that combines Neo4j massive graph data storage capabilities and SPARQL semantic query capabilities.