Artificial Intelligence for Big Data

The role Ontology plays in Big Data

As we saw in the introductory chapter, data volumes are growing at a phenomenal rate and in order to derive value from the data, it is impossible to model the entire data in a traditional Extract, Transform, and Load (ETL) way. Traditionally, data sources generate the datasets in structured and unstructured formats. In order to store these data assets, we need to manually model the data based on various entities. Taking an example of Person as an entity in the relational database world, we need to create a table that represents Person. This table is linked to various entities with foreign key relationships. However, these entities are predefined and have a fixed structure. There is manual effort involved ...