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.
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