The Role of Taxonomy in Labeled Property Graphs (LPGs) & Graph Analytics

Taxonomies play a critical role in deriving meaningful insights from data by providing structured classifications that help organize complex information. While their use is well-established in frameworks like the Resource Description Framework (RDF), their integration with Labeled Property Graphs (LPGs) is often overlooked or poorly understood. In this article, I’ll more closely examine the role of taxonomy and its applications within the context of LPGs. I’ll focus on how taxonomy can be used effectively for structuring dynamic concepts and properties even in a less schema-reliant format to support LPG-driven graph analytics applications. Taxonomy for the Semantic Layer Taxonomies are controlled vocabularies that organize terms or concepts into a hierarchy based on their relationships, serving as key knowledge organization systems within the semantic layer to promote consistent naming conventions and a common understanding of business concepts.