Semantic Web Applications and Tools for Healthcare and Life Sciences
Swat4ls Conference in Basel, 13-16 Feb 2023

Keynotes 

Provisional list of keynotes (more to be confirmed soon!)

Katrin Crameri

Dr. Katrin Crameri

Director, Personalized Health Informatics
SIB Swiss Institute of Bioinformatics, Switzerland

Keynote Title:
The Swiss Personalized Health Network – FAIRification of health data

Katrin Crameri joined the Swiss Institute of Bioinformatics (SIB) in 2019 as Group Leader and Director of the Data Coordination Center of the Swiss Personalized Health Network (SPHN) initiative. In this position, she is responsible for the technical implementation of key SPHN milestones, for the transformation of health data into FAIR research data, and for building a secure IT platform for processing and analysis of sensitive data. A molecular biologist with a PhD in neuroscience and a master’s degree in public health, she has long been active in biomedical research, research support and future-oriented development of Switzerland as a research location. Since 2015, she has been active in various national and international committees for the best possible use of health data.

Katrin is passionate about improving the framework conditions for biomedical research in Switzerland and committed to advancing better research for better health.


Dr. Chris Mungall

Staff Scientist and Head of the Biosystems Data Science Department, Environmental Genomics and Systems Biology Division of Lawrence Berkeley National Laboratory, USA

More information coming soon.


Dr. Frank van Harmelen

Head of the Knowledge Representation and Reasoning group,
Vrije Universiteit Amsterdam, The Netherlands

Keynote Title:
Combining knowledge graphs with machine learning, with examples from healthcare and life sciences.

Symbolic and statistical AI techniques have complementary strengths and weaknesses, prompting many researchers to investigate combinations of the two: using symbolic knowledge to improve machine learning, or vice versa using machine learning to improve symbolically represented knowledge. We present a survey of different approaches for combining these techniques, and we illustrate these with examples from healthcare and life sciences.
This work is in collaboration with Annette ten Teije.

Frank van Harmelen is full professor at the Vrije Universiteit Amsterdam, where he leads the Learning and Reasoning group. He has been a leading contributor to widely used Semantic Web techniques, including the Web Ontology Language OWL and one of the first scalable triple stores (Sesame, which earned him the 10-year impact award of the International Semantic Web Conference). He is one of the editors of the Handbook of Knowledge Representation, the standard reference in his field, and he is member of the Royal Netherlands Academy of Sciences and of Academia Europaea.