BioGrakn: A Knowledge Graph-Based Semantic Database for Biomedical Sciences

  • Antonio Messina
  • Haikal Pribadi
  • Jo Stichbury
  • Michelangelo Bucci
  • Szymon Klarman
  • Alfonso Urso
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 611)


The proliferation of biological research data generated and shared openly online is of huge benefit to the scientific community, but there are often significant challenges to overcome before it can be integrated from different sources and re-used to gain new knowledge. This paper introduces BioGrakn, which is a graph-based deductive database, combining the power of knowledge graphs and machine reasoning. BioGrakn illustrates how data can be aggregated and integrated, modelled in all its complexity and contextual specificity, and extended as needed. Built upon GRAKN.AI, it provides an integrated, intelligent database for researchers handling complex data.


Knowledge representation and reasoning Semantic web Semantic data integration Biomedical Databases Knowledge graphs 


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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Antonio Messina
    • 1
  • Haikal Pribadi
    • 2
  • Jo Stichbury
    • 2
  • Michelangelo Bucci
    • 2
  • Szymon Klarman
    • 2
  • Alfonso Urso
    • 1
  1. 1.ICAR-CNRPalermoItaly
  2. 2.Grakn Labs LtdLondonUK

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