Discovering Conflicts of Interest across Heterogeneous Data Sources with ConnectionLens

Autor: Helena Galhardas, Angelos-Christos G. Anadiotis, Théo Bouganim, Stephane Horel, Oana Balalau, Ioana Manolescu, Youssr Youssef, Francesco Chimienti, Mhd Yamen Haddad

Publikováno v: ACM International Conference on Information and Knowledge Management (CIKM 2021)
ACM International Conference on Information and Knowledge Management (CIKM 2021), Nov 2021, Online, Australia. ⟨10.1145/3459637.3481982⟩
CIKM

International audience; Investigative Journalism (IJ, in short) requires combining highly heterogeneous digital datasets coming from a wide variety of sources. We have developed ConnectionLens, a system that integrates such sources into a single hete

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e484677b79f62625ec4c43187bd12e9
https://hal.inria.fr/hal-03337765/file/main.pdf