Now that we have understood the impact of unstructured data in our lives, we need to find an efficient way to be able to utilise and analyse this data. This can be done by forming a knowledge graph (or Ontology).Forming this knowledge graph based on self or expert knowledge, whilst defining our own classes and objects is known as an Ontology. The very aim of an Ontology is continuous knowledge sharing in an efficient and re-usable manner, by means of a knowledge graph, such that people that have access to the knowledge you or your organisation has acquired.
Why would you choose an Ontology versus say, a relational database
that seems to do the same in a seemingly easier fashion?
Well, let’s do a simple case study. Say we have 5 people that have databases containing Customer information. Now, if we wish to integrate this data into a common database…
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