Knowledge graphs (KGs) have momentum as expressive data structures to represent the convergence of data and knowledge spread across various data sources. Albeit coined by the research community for several decades, KGs play an increasingly relevant role in scientific and industrial areas. In particular, the rich amount of biomedical data existing in encyclopedic KGs like DBpedia and Wikidata, or domain-specific KGs (e.g., Bio2RDF or KnowLife) demonstrate the feasibility of integrating factual domain-specific knowledge following the Linked Data principles.
Head of Scientific Data Management Research Group
Leibniz Information Center for Science & Technology
https://www.tib.eu/en/
Prof. Dr. (Univ. Simon Bolivar) Maria-Esther Vidal is the head of the Scientific Data Management Research Group at TIB and a member of the L3S Research Centre at the University of Hannover; she is also a full professor (on-leave) at Universidad Simón Bolívar (USB) Venezuela.
