Home.md

@@ -52,6 +52,8 @@ In order to do this you need to:
 2. Define the schema structure including properties that can represent EM Glossary IRIs.
 3. Embed the IRIs as links to the respective EM Glossary class in the JSON Schema. For this keywords such as `description`, `examples` or custom annotations (using custom-defined keywords) can be used.  
 
+<details open>
+
 Here an example how that could look in an example schema. The link to EM Glossary classes is established by embedding selected IRIs that relate to a data item in the schema by using and object called `ontologyLink`, with the properties `uri` and `label`. These are defined by custom-defined keywords:
 ```
 {
@@ -83,6 +85,8 @@ Here an example how that could look in an example schema. The link to EM Glossar
 
 Note however that a disadvantage of embedding ontology links into JSON-Schema is that the used keywords are not standard JSON Schema keywords and as a consequence might not be processed by tools that are programmed to process JSON schema on the standard keywords only. 
 
+</details>
+
 :construction: under construction - further content will be added :construction: 
 
 There is a still emerging group of standards that are designated to connect schemas to linked data representations. These are e.g. [JSON-LD](), [YARRRMöL]() and [linkML]().