Connectionlens
Camille Chanial, Rédouane Dziri, Héléna Galhardas, Julien Leblay, Minh-Huong Le Nguyen, Ioana Manolescu · Proceedings of the VLDB Endowment · 2018
Nowadays, 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 C onnection L ens , 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.