The goal of this project is to find out the best strategy for extracting relevant knowledge from large ontologies, such as Snomed CT. With the help from the supervisor, you will
- read relevant papers about how to extract knowledge from ontology, such as ontology modularity and how to combine semantic technologies with machine learning techniques, such as ontology embedding;
- apply the knowledge that you learn from the course of "Semantic Technologies" in a real-world scenario;
- explore different knowledge extraction techniques and use reasoners on large-scale ontologies;
- build a framework of knowledge extraction for ontologies.