Session Organizers:

  • Paul Groth , University of Amsterdam
  • Jodi Schneider , School of Information Sciences, University of Illinois at Urbana-Champaign
  • Ryan Shaw, School of Information and Library Science, University of North Carolina
  • Daniel Garijo , Information Sciences Institute, USC.
  • Timothy Lebo, Applied Physics Laboratory, The Johns Hopkins University
  • Doug Fils, Iowa State University

Knowledge Graphs (KGs) are now powering many information systems. While many prominent KGs have broad coverage, this session focuses on KGs rooted in specific domains. Domain-specific KGs with deep and non-redundant information pose specific research and implementation challenges and opportunities. Speakers will share their experiences constructing large and small KGs in variety of domains, from the academic libraries, archival collections and health informatics, to smaller-scale social scientific and humanities KGs being produced by individual projects and researchers. The panel discussion will attempt to identify common issues and to set an agenda around domain-specificity for the wider semantic technologies community. Important topics include new uses for provenance and trust when creating and exploiting KGs, the utility of bridging between domain-specific vocabularies and generic vocabularies, open versus closed KGs, and opportunities for integrating KG-oriented data capture into research tools.

Short presentations (15 min each)

  • Simeon Warner (Cornell University)
  • Deborah McGuinness (Rensselaer Polytechnic Institute)
  • Mayank Kejriwal (Information Sciences Institute)
  • Susan Brown (University of Guelph)
  • Kathryn Tomasek (Wheaton College)
  • Ryan Shaw (University of North Carolina at Chapel Hill)
  • Joshua Shinavier (Uber)
Panel (70 min): Challenges, barriers and next steps for knowledge graphs