This is the first part of a series of white papers where we describe the principles and implementation of knowledge graphs.
Knowledge graphs are a proven dynamic and scalable solution for addressing enterprise data management requirements. Knowledge graphs serve as a hub for data, metadata and content and offer a unified, consistent and unambiguous view to data scattered across different systems. Graphs can smarten up their proprietary information using global knowledge as context for interpretation and source for enrichment.
In this first part, called “The Story Behind the Hype”, we focus on what knowledge graphs are (and what they are not), what problems they solve and why they are the next generation tool for helping enterprises make critical decisions.
What does “The Story Behind the Hype” include?
- What problems do knowledge graphs solve?
- What is a knowledge graph?
- Ontologies and formal semantics
- Knowledge graphs in RDF
- What is not a knowledge graph?
- Famous examples of knowledge graphs
- Why use knowledge graphs?