Evaluating Oxigraph Server as a triple store for small and medium-sized datasets

This repository contains the code and preprint for the DBCLS BioHackathon 2023 project titled "Evaluating Oxigraph Server as a Triple Store for Small and Medium-Sized Datasets".

The evaluation focused on the use of Oxigraph, a modern graph database implemented in the Rust programming language, as a triple store for handling small to medium-sized (sub-billion) datasets in the context of RDF and SPARQL technologies.

Members and Affiliations

• Masashi Yokochi
  ORCID: 0000-0002-3253-7449
  Affiliation: Protein Research Foundation, Osaka, Japan

• Nishad Thalhath
  ORCID: 0000-0001-9845-9714
  Affiliation: RIKEN Center for Integrative Medical Sciences, Yokohama, Japan

Code, Data, and Preprint

• Latest PDF version of the paper can be downloaded from the release.
• You can find the actual paper and code at the following Git repository URL: https://github.com/biohackathon-japan/bh23-oxigraph.
• The datasets used in the evaluation are available at the following Zenodo DOI: 10.5281/zenodo.8098467.