Research on Improved General Property Graphs Query Method Based on TinkerPop
Jiahao Wang, Song Wang · 2023
With the development of artificial intelligence, knowledge graphs, which are an important part of many artificial intelligence technologies, have also begun to receive more and more attention. The current mainstream data models of knowledge graphs mainly include RDF graphs and property graphs. Although property graphs have multiple implementations, they lack a standard query language. This paper proposes an improved general query method for property graphs based on the general graph framework TinkerPop, which can use the standard query language SPARQL of RDF graph to query property graphs. This method improves the original module of TinkerPop and realizes ASK query and path query functions. At the end of the article, this paper verifies the effectiveness of the proposed method by conducting experimental comparisons on real-world air route graph data.