chapter four

4 More complex knowledge graphs: biomedical examples

 

This chapter covers

  • Introducing and exploring biomedical knowledge graph
  • Knowledge graph exploration examples
  • Analysis and query techniques

Our journey on knowledge acquisition continues in this chapter and the next one. Chapter 3 shows how to leverage an ontology to build a first simple knowledge graph that can help clinicians to identify diseases and heal the patient starting from their symptoms. That first example of knowledge acquisition showed, in a concrete way, which kind of applications can be “empowered” by knowledge graphs. These last two chapters move from the previous one and extend our understanding of how to build knowledge graphs of growing complexity and size and how to leverage them to build more powerful intelligent advisor systems.

4.1 Biomedical Knowledge graphs and applications

4.2 Multi-omic applications

4.3 Pharmaceutical applications

4.4 Clinical applications

4.5 Summary

4.6 Reference