The Healthcare and Life Sciences Symposium is co-located with the 2022 Knowledge Graph Conference (https://www.knowledgegraph.tech).

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:

• Characterization 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

Submission Guidelines

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 health care and life sciences
• Interoperability aspects when integrating health and life science 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 https://easychair.org/conferences/?conf=kgchcls22 no later than March 31, 2022 11:59 AoE.

Organizing Committee

• Ching-Hua Chen
• Ying Ding
• Jamie Patricia McCusker
• Deborah McGuinness
• Marco Monti
• Tom Plasterer
• Filip Pattyn
• Oshani Seneviratne