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README.md

README.md

Semantic recommendation system for life sciences publications

Project Number: 29

Research area alignment

  • ELIXIR platform: Tools
  • Elixir platform: Tools

Merged from

  • Semantic recommendation system for life sciences publications
  • Developing Semantic Life Sciences Publications Subscription System

Team

Submitter: Toshiyuki Yokoyama/Mustafa Anil Tuncel

Proponent(s)

  • Toshiyuki Yokoyama
  • Ivan Topolsky

Lead(s)

  • Mustafa Anil Tuncel, Toshiyuki Yokoyama
  • Kim Philipp Jablonski, Ivan Topolsky

Nominated participant(s)

    1. Toshiyuki Yokoyama, The University of Tokyo,, JavaScript/React, Ruby/Python/Bash, RDF/SPARQL, HTML/CSS
  1. Mustafa Anil Tuncel, ETH Zurich,, Backend, Python, Bioinformatics, SPARQL, RDF
  2. Ivan Topolsky, ETH Zurich and SIB,, Backend, SysOps, DevOps, RaspPi servers, Docker containers, Web servers, Service Integration and Management, Perl/Bash/Python, HTML/CSS.
    1. Kim Philipp Jablonski, ETH Zurich,, Backend, Python.
  1. Ivan Topolsky, ETH Zurich and SIB,, Backend, SysOps, DevOps, RaspPi servers, Docker containers, Service Integration and Management, Perl/Bash/Python, Mail servers administration.

  2. Mustafa Anil Tuncel, ETH Zurich,, Backend, Python, Bioinformatics, SPARQL, RDF, C-SPARQL, Stream databases

Expected outcomes

    1. A service that recommends articles to users by collecting articles and grants information from Europe PMC articles API and academic grants API.
  1. A web interface that shows the list of recommended papers and visualizes relationships between them.
    • A semantic subscription system that notifies the researchers whenever a relevant paper or a grant is available.
  • A web interface that allows researchers to subscribe in certain topics of life sciences from the ontology.

Expected audience

  • Researchers, Engineers, Ontology expert, JavaScript, Graph Database, RDF, Europe PMC
  • Front-end development, Knowledge on RDF, Backend

Number of expected hacking days: 4

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