Data Graphs' information management is based around the Dataset. This is where you define your classes, or types, and the relationships between them, and where you import your data, or Concepts.
This simplest way to use a Dataset is to create one per type. This approach is suitable for data comprising lists or collections of things. For example, in a geographical domain including lists of countries, flags and governments, your Datasets would be Countries, Flags and Governments, with each defining the relevant type and its properties. In its simplest form, a vocabulary in a Dataset might be just a list of Key–Label pairs.
However, if you are working with more complex relationships, eg in well documented a knowledge graph, then you should consider carefully how you define your types among your Datasets.
Building a simple dataset
You can do this in 4 simple steps:
1. Create a Dataset
Click on Create New Dataset on the Data Graphs app homepage. Give your Dataset a name and decide whether it should be public or private.
2. Add a Concept type
Create your own custom concept type or choose one of Data Graphs' pre-created templates.
3. Define Custom Type properties
Every Data Graphs type has an id and a label as a minimum but you can add as many others as required by clicking the + symbol on the right hand side of the last property in the list.
Note: if your entities come with their own ids, you should select Manual Identifiers. Alternatively, Data Graphs will create Automatic Identifiers for you.
4. Add your data
You can do this 3 ways:
- Create a Concept manually from the Add New Concepts page in the Data Graphs app
- Upload a CSV from the Import Data page for the Dataset
- Load Concepts via the Data Graphs API either individually or in bulk
For more information see Importing data.