About The Event
The Healthcare and Life Sciences Symposium is co-located with the 2022 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
Where
Hybrid: Please see the Knowledge Graph Conference website for more details about registration and participation.
When
Monday 2nd May 2022
Schedule
*All times are in EDT.
Keynote
Chair: Jamie McCusker
Session 1
Chair: Jamie McCusker
Session 2
Chair: Ching-Hua Chen
Panel Discussion: FAIR data in HCLS KG
Panelists: Michel Dumontier, Matthias Nolte, Benjamin Gyori, Shashank Jatav, Tiffany Callahan, Jamie McCusker, Tom Plasterer, Filip Pattyn
Moderator: Ching-Hua Chen
Coffee and Chat / Lunch
Keynote
Chair: Tom Plasterer
Session 3
Chair: Deborah McGuinness
Exhibits
Session 4
Chair: Oshani Seneviratne
Panel Discussion: Healthcare KG Applications
Panelists: Bérénice Wulbrecht, Payal Mitra, Enayat Rajabi, Ravi Bajracharya, Sixing Huang, Marco Monti, Deborah McGuinness, Richard Wallace
Moderator: Oshani Seneviratne
Exhibits
Informal Networking
Virtual Coordinators: Marco Monti and Filip Pattyn
End
Organizers
Ching-Hua Chen
IBM
Ying Ding
University of Texas Austin
Jamie McCusker
Rensselaer Polytechnic Institute
Deborah McGuinness
Rensselaer Polytechnic Institute
Marco Monti
IBM
Filip Pattyn
Ontoforce
Tom Plasterer
AstraZeneca
Oshani Seneviratne
Rensselaer Polytechnic Institute
Speakers
Keynote Speakers
Bérénice Wulbrecht
Data Driven Decisions in Life Sciences powered by Knowledge Graphs. Example on Clinical Trials information
Talk AbstractSession Speakers
Benjamin Gyori
An automatically assembled knowledge graph from literature-extracted molecular biology knowledge with human-machine dialogue to support biomedical discovery
Talk Abstract
Shashank Jatav
Building a knowledge graph of biomedical entities (genes, diseases, proteins, pathways) using a gene signature representing a particular disease condition or perturbation using half a million FAIR datasets
Talk Abstract
Payal Mitra
EpiMap: Predicting Epigenetic Targets with Triage Queries and KG Embedding Models
Talk Abstract
Sponsor Speaker
Richard Wallace (Sponsor)
Why You Will Build an Entity-Event Knowledge Graph, perspectives from the field?
Talk AbstractSponsors
Franz Inc.
KGC BRONZE SPONSOR, HCLS SPONSOR
Ontoforce
KGC VIRTUAL SPONSOR, HCLS BOOSTER
Contact Us
Please email the organizers at kgchcls22 AT easychair.orgBackground Image Credit: mohamed_hassan from PxHere (CC0 Public Domain)