Data extraction and matching The EurHisFirm experience

Sébastien Adam (1) , Jan Annaert (2) , Frans Buelens (2) , Bertrand B. Coüasnon (3) , Boris Cule (4) , Amaury de Vicq (5) , Camille Guerry (3, 6) , Pierre-Cyrille Hautcoeur (5, 7) , Thierry Paquet (1) , Andres Rojas Camacho (1) , Iwan Le Floch (3) , Aurélie Lemaitre (3, 6) , Pantelis Karapanagiotis , Johan Poukens (8, 2) , Angelo Riva (9)

1 UNIROUEN - Université de Rouen Normandie
2 UA - University of Antwerp
3 UR - Université de Rennes
4 Department of economics, Tilburg University
5 PSE - Paris School of Economics
6 INTUIDOC - Intuitive user-interaction for document
7 EHESS - École des hautes études en sciences sociales
8 University of Groningen [Groningen]
9 EBS Paris - European Business School Paris

This paper reports results from the design phase of EurHisFirm. Its goal is to integrate isolated and badly accessible financial data sets on 19 th and 20 th century European companies so that users can query the data as if they reside in one large database. In addition, it wants to stimulate database construction by providing not only methodology and tools to connect to and collaborate with existing ones, but also a collaborative platform, based on machine learning and artificial intelligence, that allows harvesting data in a semi-automatic way. We present the proof-of-concept results of this platform in addition to the performance of matching algorithms, which are necessary to connect and collate the different constituent databases as well as to connect them to contemporary commercial databases.

Domaines: Traitement du texte et du document

Sébastien Adam, Jan Annaert, Frans Buelens, Bertrand B. Coüasnon, Boris Cule, et al.. Data extraction and matching The EurHisFirm experience. Methodological Advances in the Extraction and Analysis of Historical Data, Kellogg School of Management - Northwestern University, Dec 2021, Chicago/Virtual, United States. ⟨hal-03828381⟩