Healthcare and Life Sciences Symposium

8 May 2023 (Hybrid)

About The KGC-HCLS symposium

About The Event

The Healthcare and Life Sciences Symposium is co-located with the 2023 Knowledge Graph Conference.

We seek original contributions describing theoretical and practical methods and techniques for building and maintaining health knowledge graphs for the healthcare and life sciences domain. The symposium will cover topics around data integration, data profiling, data curation, querying, knowledge discovery, ontology mapping, matching, reconciliation, machine learning approaches, and applications. We will have several invited speakers who are thought leaders in the healthcare and life sciences space. Furthermore, we plan to have a panel discussion comprising experts from industry, government, and academia. In summary, the primary objectives of this symposium will be to provide a platform to discuss:

  • Characterisation of healthcare and life sciences knowledge graphs
  • Opportunities for the application of knowledge graphs in healthcare and life sciences
  • Challenges of creating and maintaining such knowledge graphs
  • Opportunities for knowledge graph research in this space


Hybrid: Please see the Knowledge Graph Conference website for more details about registration and participation.


Monday 8th May 2023

Call for Extended Abstracts

We invite extended abstracts for 30-minute presentations that include discussions related to the following topics in Healthcare and Life Sciences (HCLS).

  • Applications of knowledge graphs to HCLS
  • Models and ontologies to represent HCLS knowledge graphs
  • Perspectives on the use of knowledge graphs in HCLS
  • Interoperability aspects when integrating HCLS data from disparate sources
  • Reasoning and querying over an HCLS knowledge graph
  • Adaptively contextualizing HCLS knowledge graphs
  • Techniques for keeping HCLS knowledge graphs current
  • Ensuring privacy and security for an HCLS knowledge graph
  • Real-world use cases that create or consume HCLS knowledge graphs

The extended abstracts must be 1-page long (references excluded), in single-column (full page) format, with at least 1-inch margins, and font size of 11pt (times roman) or higher.

Please submit your abstracts at no later than March 31, 2023 11:59 AoE.

Important Dates

Abstract Deadline March 31, 2023 11:59 AoE
Acceptance Notifications April 14, 2023 11:59 AoE
Symposium Presentations May 8, 2023 09:00-16:00 EST


Jamie Patricia McCusker

Jamie McCusker

Rensselaer Polytechnic Institute

Deborah McGuinness

Deborah McGuinness

Rensselaer Polytechnic Institute

James Masters

James "Chip" Masters

Icahn School of Medicine at Mount Sinai

Filip Pattyn

Filip Pattyn


Tom Plasterer

Tom Plasterer


Oshani Seneviratne

Oshani Seneviratne

Rensselaer Polytechnic Institute


Contact Us

Please email the organizers at kgchcls23 AT