Neo4j Live: ICIJ Datashare – Turning Documents into Knowledge
Have you ever wondered how journalists extracted valuable information from the millions of documents of the Panama Papers or Pandora Papers ?
In this session, Clément, ML Engineer at the International Consortium of Investigative Journalists (ICIJ), will explain how Neo4j and Datashare (ICIJ’s search engine) helped solve this challenge.
You will learn how Datashare’s new Neo4j plugin allows journalists to turn investigation documents into knowledge graphs connecting the dots between people and corporate entities. You will then discover how to use Neo4j to surface valuable insights from such graphs: reveal complex links between entities, identify central actors, analyze exchanges, identify similar entities...
Guest: Clément Doumouro, ICIJ
Datashare’s new plug-in helps investigative journalists connect the dots with graphs - ICIJ
Datashare and plugin documentation
Neo4j at ICIJ
Resources mentioned
- ICIJ (opens in a new tab)
- Investigations (opens in a new tab)
- Datashares new plug in helps investigative journalists connect the dots with graphs (opens in a new tab)
- Datashare (opens in a new tab)
- Datashare Neo4j's plugin documentation (opens in a new tab)
- GitHub - ICIJ/datashare-extension-neo4j (opens in a new tab)
- GitHub - ICIJ/datashare: A self-hosted search engine for documents. (opens in a new tab)
- Datashare Demo (opens in a new tab)
- How ICIJ deals with massive data leaks like the Panama Papers and Paradise Papers - ICIJ (opens in a new tab)
- Wrangling 2.6TB of data: The people and the technology behind the Panama Papers - ICIJ (opens in a new tab)


