https://pikappa.eu/keywords/matching/Recent content in Matching on Pi.Kappa_Hugo -- gohugo.ioen-us© 2025 Pantelis Karapanagiotishttps://pikappa.eu/bibliography/adam2021/Mon, 01 Jan 0001 00:00:00 +0000https://pikappa.eu/bibliography/adam2021/<div class='csl-title'><div id='adam2021' class='csl-entry'>Adam, S., Annaert, J., Buelens, F., Couasnon, B. B., Cule, B., de Vicq, A., Guerry, C., Hautcoeur, P.-C., Paquet, T., Rojas Camacho, A., Le Floch, I., Lemaitre, A., Karapanagiotis, P., Poukens, J., &#38; Riva, A. (2021). <i>Data extraction and matching: The EurHisFirm experience</i>. Methodological Advances in the Extraction and Analysis of Historical Data. Kellogg School of Management - Northwestern University. <a target='_blank' href='https://hal.archives-ouvertes.fr/hal-03828381'>https://hal.archives-ouvertes.fr/hal-03828381</a></div></div> <figure> <img class="my-0 rounded-md invertible featured-figure" src="./featured.png" alt="" /> </figure> <p class='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.</p>