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Conference Papers Year : 2021

Data extraction and matching The EurHisFirm experience

Sébastien Adam
Bertrand B. Coüasnon
Thierry Paquet
Iwan Le Floch
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Pantelis Karapanagiotis
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Angelo Riva

Abstract

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.
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Dates and versions

hal-03828381 , version 1 (25-10-2022)

Identifiers

  • HAL Id : hal-03828381 , version 1

Cite

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⟩
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