As usual, the last lesson of the module is just a bunch of exercises to check whether you remember what you have learned. Understanding the Grakn data model and schema is particularly important, so be sure to go back to review the relevant lesson if you are struggling with some of the exercises.

Let us start with an open form question: can you describe the entity-relationship modelling process, i.e. the steps we have followed to build our conceptual model?

Exercise 1: Extending the schema

Open the schema file you have built in this module. Imagine that you wanted to add people owning companies to your knowledge graph, how would you modify your schema? Obviously in the real world a company, and especially an oil company, is rarely owned by a single person, but for the sake of this example let’s pretend it is possible. Don’t forget that you do not need to add relationships and roles that are already there, make sure that a person can have a name.

How can you extend your schema so that companies can be located in countries?

Remember that our final objective is to be able to link articles to bonds via oil platforms. Add all the necessary concepts to the schema. Notice that this time you will have to introduce a new relationship and new roles.

Exercise 2: The complete schema

It is quite rare that the first version of a schema is also the final one. Often times when you start migrating data you will find mistakes in your model or you will simply realise that you have missed something. You can find the complete schema file for the training dataset on github take your time to review it and understand what is going on and what has been added with respect to the file you have written.

Exercise 3: Visualising the schema

Start Grakn and open the graph visualiser (you do not remember how? Head back to the relevant lesson if you need to review the material). With the academy keyspace selected, click on the “Type” button on the left side of the query editor. After that select the “All types” option to visualise the concepts that make up the schema of the dataset with their hierarchy. If you ALT+Click on one of the roles (try it on the “located” node for example) you will also see the schema connections to the other concepts.

Academy Schema

Exercise 4: removing a type

Try and remove some (or all) of the types you have defined in Exercise 1. Verify with the dashboard (remember to clean the graph visualiser) that the types are no longer there.

What you have learned so far and where to go next

In this module you have learned how to model and write, and modify a Grakn schema. Give yourself a pat on the back, because you are now well equipped to design a Grakn knowledge graph. The next step is to add some meat, i.e. learn to load the file you have composed and add data to the knowledge graph. If you want to know about Grakn data model or Grakn schemas, as always, head to the docs.