Enabling graph mining in RDF triplestores using SPARQL for holistic in-situ graph analysis

作者：

Highlights：

• We present implementations of six popular graph mining algorithms using SPARQL.

• We present guidelines for efficient graph mining algorithms using SPARQL.

• We released our implementation as publicly available open-source project.

• We analyzed the performance of our implementation on various system environments.

摘要

•We present implementations of six popular graph mining algorithms using SPARQL.•We present guidelines for efficient graph mining algorithms using SPARQL.•We released our implementation as publicly available open-source project.•We analyzed the performance of our implementation on various system environments.

论文关键词：Graph,Mining,Analysis,RDF,SPARQL,Triplestore,Semantic Web

论文评审过程：Received 28 May 2015, Revised 30 October 2015, Accepted 12 November 2015, Available online 26 November 2015, Version of Record 17 December 2015.

论文官网地址：https://doi.org/10.1016/j.eswa.2015.11.010