Relational schema optimization for RDF-based knowledge graphs

作者：

Highlights：

• Optimize the relational schema for storing RDF knowledge graphs based on lattice reduction.

• Merging of Characteristic sets that takes advantage of their hierarchies.

• raxonDB, an RDF engine on top of a relational backbone for both storing and querying.

• Experimental evaluation showing significant performance improvements.

• Sensitivity analysis on the robustness of our proposed algorithm.

摘要

•Optimize the relational schema for storing RDF knowledge graphs based on lattice reduction.•Merging of Characteristic sets that takes advantage of their hierarchies.•raxonDB, an RDF engine on top of a relational backbone for both storing and querying.•Experimental evaluation showing significant performance improvements.•Sensitivity analysis on the robustness of our proposed algorithm.

论文关键词：Schema optimization,Query processing,Knowledge graphs,RDF data

论文评审过程：Received 21 July 2020, Revised 21 December 2020, Accepted 24 February 2021, Available online 3 March 2021, Version of Record 23 November 2021.

论文官网地址：https://doi.org/10.1016/j.is.2021.101754