In the previous chapters, we introduced the concepts behind Neo4j and learned how to query it using Cypher. It is now time to build our first working application of graph databases. The first step when entering the graph database ecosystem is usually to try and build a knowledge graph of your business or industry. In this chapter, you will learn what a knowledge graph is and how to build one from structured or unstructured data. We will use some Natural Language Processing (NLP) techniques and query existing knowledge graphs such as Wikidata. We will then focus on two possible applications of knowledge graphs in the real world: graph-based search and recommendations.
The following topics will be covered in this chapter:
- Knowledge graphs
- Graph-based search
- Recommendation engine
