Building the Knowledge Graph of Cinema
How can the relationships, decisions and visual language behind filmmaking become connected knowledge?
talk23/09/2026Olympia London30 minutes
Every film leaves behind more than a finished work. It creates relationships between filmmakers, production experience, visual decisions, locations, workflows and lessons learned. Yet much of this knowledge remains scattered across credits, production systems, documents and individual memory.
At Big Data LDN 2026, Filmster Network founder Anush Venkataraman presents Building the Knowledge Graph of Cinema: Turning Film into Data Infrastructure, exploring what becomes possible when these fragments are connected.
The session will demonstrate how existing film and production data can be combined with information extracted from documents and visual characteristics identified from film imagery. By connecting filmmakers, projects, departments, locations, collaboration histories and visual practices, we can begin to represent filmmaking as an evolving network of knowledge.
The practical question is what we can learn from it. Over time, connected production histories could reveal recurring patterns: which production conditions create friction, which locations introduce particular risks, how creative relationships develop, and how experience from previous films can become useful to the next production.
Production metadata becomes production knowledge.
Production knowledge can become production intelligence.
The session will also explore how this knowledge changes over time, how patterns across many productions can become visible, and why those patterns should remain knowledge rather than instructions for creativity.
Key Takeaways
- How disconnected film and production data can become connected knowledge.
- How textual, visual and production information can be analysed together.
- How accumulated production experience can reveal useful patterns across filmmaking.
- Why creative authority and authorship must remain with filmmakers.
A bad filmmaker with an advanced knowledge model is still a bad filmmaker.
Join the conversation as we explore how cinema can preserve and learn from its accumulated production knowledge while remaining wonderfully, stubbornly human.