Introductory Guides to Graph Database Topics
What is an Ontology?
An ontology is a formally defined representation of knowledge that sets out the concepts and relationships within a particular domain. It is like a vocabulary or a set of rules that provides a common understanding of a specific subject area. Ontologies are used to enable sharing and reuse of knowledge and facilitate communication and reasoning among people or computer systems.
Ontologies are typically represented using a graph model, where the nodes represent concepts or classes, and the edges represent relationships between them. For example, in a medical ontology, the nodes might represent diseases, symptoms, and treatments, while the edges represent the relationships between them, such as "causes," "treats," or "diagnoses."
Watch the talk delivered by Graph.Build Head of Product, Richard Loveday, at the 2023 Knowledge Graph Conference in New York.
Richard walks through the core functionalities of the platform and explains why it makes graph technology more accessible.
An Introduction to Graph Query Languages
In this introductory guide, we explain what a graph query language is and cover popular languages such as Cypher, SPARQL Gremlin and others.
We then introduce graph query language standardisation and GQL.
An Introduction to Semantic Graphs
This introductory guide, along with the material on property graphs will help you to understand the differences between Semantic Graphs/RDFs and Property Graphs.