Repositories list

• PRoST

  Public
  RDF storage and SPARQL processing on top of Apache Spark.

  Java

  •

  MIT License

  •7•19•4•3•Updated Oct 5, 2022Oct 5, 2022

• awesome-scholarly-data-analysis

  Public
  A curated collection of resources on scholarly data analysis ranging from datasets, papers, and code about bibliometrics, citation analysis, and other scholarly commons resources.

  26•0•0•0•Updated Oct 23, 2019Oct 23, 2019

• el-orchestration

  Public
  Java

  •0•0•0•0•Updated Mar 15, 2019Mar 15, 2019

• arxiv-cs-analysis

  Public
  arxiv cs analysis

  JavaScript

  •0•1•0•0•Updated Jan 15, 2019Jan 15, 2019

• LTR_Recommender

  Public
  Python

  •

  GNU General Public License v3.0

  •0•1•15•0•Updated Nov 11, 2018Nov 11, 2018

• WELT

  Public
  Java

  •0•1•0•0•Updated Sep 26, 2018Sep 26, 2018

• S2X

  Public
  S2X (SPARQL on Spark with GraphX) is a SPARQL query processor for Hadoop based on Spark GraphX. It combines graph-parallel abstraction of GraphX to implement the graph pattern matching part of SPARQL with data-parallel computation of Spark to build the results of other SPARQL operators.

  Java

  •

  Apache License 2.0

  •4•1•0•0•Updated Sep 4, 2017Sep 4, 2017

• PigSPARQL

  Public
  Pig Latin is a high-level language developed at Yahoo! Research designed for data analysis tasks, which is automatically transformed into MapReduce jobs and executed in a Hadoop cluster. PigSPARQL is a translation from SPARQL 1.0 to Pig Latin, which allows to execute SPARQL queries on large RDF graphs with MapReduce.

  Java

  •

  Apache License 2.0

  •1•1•0•0•Updated Sep 4, 2017Sep 4, 2017

• S2RDF

  Public
  S2RDF (SPARQL on Spark for RDF) is a SPARQL query processor for Hadoop based on Spark SQL. It uses the relational interface of Spark for query execution and comes with a novel partitioning schema for RDF called ExtVP (Extended Vertical Partitioning) that is an extension of the Vertical Partitioning (VP) schema introduced by Abadi et al. ExtVP en…

  Java

  •

  Apache License 2.0

  •6•1•0•0•Updated Sep 4, 2017Sep 4, 2017

• Sempala

  Public
  Sempala is a SPARQL-over-SQL approach to provide interactive-time SPARQL query processing on Hadoop. It stores RDF data in a columnar layout (Parquet) on HDFS and uses either Impala or Spark as the execution layer on top of it. SPARQL queries are translated into Impala/Spark SQL for execution.

  Java

  •

  Apache License 2.0

  •2•1•0•0•Updated Sep 4, 2017Sep 4, 2017