Knowledge Graph Construction
Explore how to construct knowledge graphs by using graph databases that efficiently store and manage entities and relationships. Understand common graph databases, their query languages, and practical Python examples to create and visualize knowledge graphs, equipping you with foundational skills in graph machine learning.
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Knowledge graph databases
Knowledge graphs are huge in size, so we need databases to store their information. These graph databases provide a way to store and retrieve entity and relationship information efficiently. They have built-in support for features such as RDF, ontologies, and semantics to perform advanced querying and reasoning tasks.
Some popular graph databases include ArangoDB, which is a free and open-source native graph database system that uses ArangoDB query language (AQL) to perform query tasks. It is a NoSQL database system, but its query language is similar to SQL and easy to learn. ...