Summary
In this chapter, we learned how to represent linguistic data in databases and networks. We compared two Nilo-Saharan language subfamily networks using centrality metrics and introduced subgraph centrality as a centrality metric particularly suited to analyzing ontologies and phylogenies. Finally, we expanded our treatment of ontologies to those outside the field of linguistics and discussed how the tools in this chapter can be used to scale these analyses to very large groups of very large ontologies to compare suitability for use in real-world applications.
In the next chapter, we will learn about graph databases, which can be used to store ontology data such as the data discussed in this chapter.
