Publication Date
11-15-2026
Abstract
This article examines the continuing relevance of S. R. Ranganathan’s analytico-synthetic principles in the contexts of the semantic Web and artificial intelligence (AI). It introduces scholarship on faceted classification, linked-data modeling, Resource Description Framework (RDF) schemas, knowledge graphs, and AI-driven metadata systems, while also examining ethical concerns related to bias, transparency, and inclusivity. Its distinctive contribution is to bring together areas of scholarship often treated separately and interpret them through a common classification-theoretic framework. The article demonstrates that Ranganathan’s analytico-synthetic approach remains a valuable conceptual lens for evaluating contemporary digital knowledge organization.