In this presentation, we will show and provide technical details of Lynx, a Knowledge Graph and FAIR-fueled system to enable seamless access across the Roche semantic ecosystem. On the one hand, Lynx exploits machine-readable, FAIR Knowledge Graphs to allow for accessing and combining multiple and disparate reference data systems. On the other hand, Lynx bridges the gap for non-experts with an intuitive and user-friendly way of finding and exploring FAIR data.
Dr. Javier D. Fernández, Senior Information Architect at at F. Hoffmann-La Roche,
Roche
http://www.roche.com
Javier D. Fernandez is a Senior Information Architect at Roche in Basel, Switzerland - His work currently focuses on enabling data interoperability and, in general, data FAIRification, facilitating the creation, management and efficient consumption of Knowledge Graphs in the context of clinical data.
Roche
http://www.roche.com
- Principal Information Architect at Roche in Basel, Switzerland
- In her current job, she is working towards improving meta (data) management activities by driving the implementation of FAIR principles through Knowledge Graphs and Linked Data based solutions.
- Nelia has a doctorate from the University of Zaragoza (Spain) in the field of Medical Informatics.
Kadaster
http://www.kadaster.nl/
Rob Agelink started working for Kadaster in 2017. Prior to that, he had been project and programme manager at various organisations in the Netherlands and abroad. Since having contributed to the curriculum of the Master of Project Management study in 2009, he has been a lecturer for the Project Agility and Control Module at HU University of Applied Sciences in Utrecht.
The COVID-19 pandemic is a showcase for a data-driven society. Hence, the German government was aiming to provide free access to COVID-19 data to all citizens. However, making the corresponding data accessible by non-experts is not easy due to local characteristics and time-dependent metrics (e.g., the data is only collected on district level). We present the Coronabot facilitating the access to German COVID-19 data capable of answering German and English questions.
Prof. Dr.
University of Applied Sciences Anhalt
https://www.hs-anhalt.de/
Prof. Both studied computer science and obtained his Ph.D. at the Martin Luther University Halle (until 2010) in Germany. Subsequently, he held several leading R&D positions in medium and large IT companies in the segments Web, e-commerce as well as business software and digitalization.
Federal Ministry of the Interior, Building and Community, Federal Republic of Germany
https://www.bmi.bund.de/
