Lectures

Knowledge graphs are extremely useful when we need to compare hierarchical relationships, properties and links of different data models. They allow users to analyze different data properties of data models to solve industrial problems without having to understand the semantics of the data model. In this presentation, we will discuss the followings:

• Using semantic relationships and properties to represent data from different sources
• Methods currently used to analyze and represent semantic relationships between different nodes in knowledge graphs
• Use of these methods to solve various problems in industry, with proven examples