Summary

In this chapter, we have explored the need for a standardized and consistent representation of the world's knowledge for the evolution of intelligent systems, and how these systems are modeled against the human brain. Ontologies, as applied to information systems, is a W3C standard that defines the generic rules for knowledge representation.

This chapter introduced the basic concepts of the RDF, OWL, and a query language to extract the knowledge representations within Ontology instances through SPARQL.

In this chapter, we have explored how to use Ontologies to build intelligent agents by looking at the generic characteristics of the intelligent agents. In the end, we learned how Ontology learning facilitates the speedy adoption of Ontologies for the worldview, with consistent knowledge assets and representations.

In the next chapter, we will get introduced to fundamental concepts of Machine Learning and how Big Data facilitates the learning process.