/science-radar

Research front detection in biomedical scientific literature

Primary LanguageJupyter NotebookApache License 2.0Apache-2.0

Science Radar CLI

Prototype Command Line Client for automatic Research Front detection.

  • EuropePMC data harversting
  • PMC OA data downloading
  • XML2RDF transformation using Biotea
  • Semantic Annotation using Biotea
  • Automatic generation of co-authorship, co-citation and annotation co-occurrence networks
  • Automatic analysis of network metrics
  • Burst detection over titles, abstract, fulltext and annotations

Requirements

  • Python 3.6+
  • Lxml
  • A SPARQL 1.1 compliance Triple Store (Apache Fuseki)

Installation

git clone https://github.com/ficolo/sciradar.git
cd sciradar
virtualenv -p python3 sciradar
source sciradar/bin/activate
pip install -r requirements.txt

Execution

Docker container