A collection of Python utilities for interacting with OpenLink Virtuoso

This project builds a movie recommendation system using Neo4j and the OMDb API. It prepares a movie graph, computes similarity scores, and generates recommendations using Louvain and K-Means clustering. The data is exported to RDF format and validated with SPARQL queries.