Abstract
With the advance of Semantic Web and development of Linked Data, the scale of knowledge graphs has surged dramatically. On the one hand, RDF graph is a mainstream data model of the knowledge graph. On the other hand, property graphs are widely accepted in graph databases. How to manage large-scale RDF and property graphs in an interchangeable way has become popular in both academic and industrial communities. Thus we present an effective unified relational storage scheme, that can seamlessly accommodate both RDF and property graphs. Furthermore, we have implemented the storage schema on an open-source graph database to verify its effectiveness. Ultimately, our experimental results show that the proposed unified storage schema for both RDF and property graphs can effectively manage large-scale knowledge graphs, efficiently avoid data redundancy, and achieve high-performance queries.
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