Training course (part I): Ontologies

12/08/2020 Fco. Javier López Acevedo

Last May, the «Intelligence and Data» team held an online training course on the Onesait Platform, which we told you about here on the blog (part I and part II).

Due to the interest generated by the course, we have decided to create a number of explanatory videos with the content taught during the course, so that, over the next few weeks, we will be bringing you the different videos of the course.

The course is organized with the following sections:

Ontologies
DataFlow
FlowEngine
Notebooks
APIs and Tokens
SQL
Introduction to MongoDB
Datasources
Dashboards and Gadgets
My Files, Web Projects, My Projects
JasperReports

Important: As the course videos were recorded in Spanish, we have added subtitles both in Spanish and English for your convenience.

1 – Ontologies

The Onesait Platform is based on a DataCentric architecture, where ontologies are the Platform’s core. The ontology entails the data model within the Platform, constituting a table in the simplest case, or a set of tables in a complete domain model.

It is represented as a JSON-Schema, which defines the structure of the information to be stored. During this module, the reasons why the use of ontologies makes sense are explained, including the templates offered by the Onesait Platform to follow recommendations or standards, the storage independence, the query engine that allows executing queries in SQL or in native language, the possibility of APIfying ontologies, the visual representation through Dashboards, the Platform’s AI capabilities through a Notebook Hub, etc.

Also, the CRUD operations (Create, Read, Update, Delete) will be reviewed and the different methods for creating ontologies will be exposed. Finally, two practical cases are proposed, the first one consisting of the creation of an ontology from scratch, step by step, and the second, using a XML file.