ConnectionLens: Finding Connections Across Heterogeneous Data Sources

International audienceNowadays, journalism is facilitated by the existence of large amounts of publicly available digital data sources. In particular , journalists can do investigative work, which typically consists on keyword-based searches over many heterogeneous , independently produced and dynamic data sources, to obtain useful, interconnecting and traceable information. We propose to demonstrate ConnectionLens, a system based on a novel algorithm for keyword search across heterogeneous data sources. Our demonstration scenarios are based on use cases suggested by journalists from the french journal Le Monde, with whom we collaborate