In this chapter, we have looked at the role of Ontology in the management of big data assets as knowledge repositories, and understood the need for computational systems to perceive the data as things instead of strings. Although some of the big systems and web search engines use a semantic world view, the adoption of Ontology as a basis for systems is slow. The custodians of data assets (governments and everyone else) need to model knowledge assets in a consistent and standardized manner in order for us to evolve current computational systems into intelligent systems.
Let us consider a use case that leverages Ontology-based knowledge graphs in order to simplify the flight boarding process. We ...
