Pregled bibliografske jedinice broj: 1138807
Using AI and crowdsourcing in digitisation and processing of archival materials
Using AI and crowdsourcing in digitisation and processing of archival materials // History of modernity: information resources, methods and research practices in Russia and abroad / Malysheva, E. P. (ur.).
Moskva: Russian State University for the Humanities, 2019. str. 380-390 (pozvano predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Using AI and crowdsourcing in digitisation and
processing of archival materials
Autori
Stančić, Hrvoje ; Seljan, Sanja ; Ivanjko, Tomislav
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
History of modernity: information resources, methods and research practices in Russia and abroad
/ Malysheva, E. P. - Moskva : Russian State University for the Humanities, 2019, 380-390
ISBN
978-5-7281-2577-8
Skup
History of modernity: information resources, methods and research practices in Russia and abroad
Mjesto i datum
Moskva, Ruska Federacija, 28.11.2019. - 29.11.2019
Vrsta sudjelovanja
Pozvano predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
archives ; archival materials ; digitisation ; artificial intelligence ; name entity recognition ; crowdsourcing
Sažetak
Digitisation of archival materials is a lengthy process in which the act of digitisation is usually the shortest and the most straightforward one. It is the processing of the digitised materials that take a lot of time and effort. It is valuable to have digitised materials available online, even for the reason of not having to travel to the physical location of the originals, but the tendency of extracting additional value from the materials increases. To that end, the archival materials can be processed by new techniques such as artificial intelligence (AI) and crowdsourcing. The authors use the example of digitisation of the minutes from the Faculty (of Humanities and Social Sciences) Council meetings dating from 1913 to 1996 and the application of AI to improve the OCR results and NER for semantic enrichment as well the example of digitisation of the food rationing cards, used between 1941 and 1945 in Zagreb, Croatia and the application of AI and crowdsourcing to data extraction, analysis and visualisation.
Izvorni jezik
Engleski
Znanstvena područja
Informacijske i komunikacijske znanosti
POVEZANOST RADA
Ustanove:
Filozofski fakultet, Zagreb