Top 1000 Movies: Web-based Knowledge Graph Integration
Independent project
Jul 2025 - Dec 2025 (6 months)
• Developed a web application integrating local RDF datasets with Wikidata using SPARQL to provide detailed and dynamic movie information from the Top 1000 highest-grossing and highest-rated movies.
• Designed and implemented an ontology with 7 classes, 7 object properties, and 15 data properties to unify and semantically link data from multiple sources.
• Built the backend using Flask and Blazegraph, with deployment on Google Cloud Platform, enabling efficient RDF storage, SPARQL querying, and real-time data integration.
• Created a responsive frontend with Next.js and Tailwind CSS, featuring advanced search, genre/year exploration, detailed financial analytics, and top-profit movie rankings.
• Leveraged Wikidata’s knowledge graph to enric