Frank van Harmelen
Full professor, Knowledge Representation and Reasoning Group, Computer Science
Artificial Intelligence and Knowledge Representation
We develop techniques to capture expert knowledge in machine processable form, enabling the computer to answer questions, draw conclusions and make predications. To this end, we develop technology for very large knowledge graphs, up to hundreds of millions of facts and rules, and we apply this technology to capture large scale medical knowledge.