Call for papers ESWC 2020 Knowledge Graphs track


The term Knowledge Graph was popularised by Google’s announcement of a new feature of their search engine, namely the ability to connect keywords to word occurrences in pages, but query words to the entities they name, summarised with the simple phrase “things, not strings”. Later, “Knowledge Graph” came to be used by many companies to describe a new way of managing data and knowledge from within and outside and across enterprises in a graph-shaped structure. Researchers have now adopted the term in multiple areas of computer science, with a particularly strong prevalence in the Semantic Web community. In spite of the word “knowledge”, Knowledge Graph research covers much more than just the field of Knowledge Representation: from databases, to learning, to NLP, to human-computer interaction, to distributed computing, to reasoning, many fields are contributing to this emerging, yet still undelimited, area of research. This new track of ESWC 2020 aims at gathering efforts from these fields towards better understanding, creating, managing, and exploiting Knowledge Graphs.

Topic of Interest

Topics of interest include, but are not limited to:

  • Knowledge Graph embeddings
  • Multilingual Knowledge Graphs
  • Knowledge Graph profiling
  • Knowledge Graph generation
  • Enterprise Knowledge Graphs
  • Distributed Knowledge Graphs
  • Interoperability between Knowledge Graphs
  • Context & Knowledge Graphs
  • Knowledge Graph management
  • Knowledge Graph evolution and dynamics
  • Scalability in Knowledge Graphs
  • Knowledge Graphs & NLP
  • Open Knowledge Graphs 
  • Personal Knowledge Graphs
  • Finable, Accessible, Interoperable and Reusable (FAIR) Knowledge Graphs
  • Geospatial Knowledge Graphs
  • Applications of Knowledge Graphs
  • Hybrid Knowledge Graphs

Track Chairs

Stefan Decker, Fraunhofer FIT & Aachen University, Germany

Antoine Zimmermann, École des mines de Saint-Étienne, France

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