appendix-c

appendix C Building knowledge graphs from structured sources

 

This appendix teaches you how to build your own knowledge graph (KG) from structured data sources. As we do in several places in the book, we focus on a biomedical use case: here, the detection of microRNA disease associations. Figure C.1 shows the core of the KG we’ll build. For this project, we will use CRISP-DM model introduced in chapter 2 (see figure C.2).

Figure C.1 An example of the relationship between a disease (celiac disease) and microRNAs
figure
Figure C.2 CRISP-DM model adapted to KGs
figure

C.1 MicroRNA–disease association: Warmup

MicroRNA–disease association is a very relevant use case for KGs in the biomedical space. In this section, we provide a brief biological description of what microRNAs are and how they are connected to diseases. We then outline the business goals and the data available to us for achieving those goals.

C.1.1 Key concepts

C.1.2 Business understanding

C.1.3 Data understanding

C.2 Building the miRNA knowledge graph

C.2.1 Importing known miRNA–disease connections

C.2.2 Importing the disease ontology

C.2.3 Importing miRNA information

C.3 Exploring and analyzing the miRNA KG