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Pregled bibliografske jedinice broj: 1104806

Using digitised documents as a source for machine learning


Stančić, Hrvoje; Seljan, Sanja; Dunđer, ivan
Using digitised documents as a source for machine learning // ENTerprise REsearch InNOVAtion Conference – ENTRENOVA 2020
Zagreb, Hrvatska, 2020. (predavanje, međunarodna recenzija, neobjavljeni rad, znanstveni)


CROSBI ID: 1104806 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Using digitised documents as a source for machine learning

Autori
Stančić, Hrvoje ; Seljan, Sanja ; Dunđer, ivan

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, neobjavljeni rad, znanstveni

Skup
ENTerprise REsearch InNOVAtion Conference – ENTRENOVA 2020

Mjesto i datum
Zagreb, Hrvatska, 10.09.2020. - 11.09.2020

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
digitisation, OCR, ML

Sažetak
Information and communication technologies have changed the way of communication, users’ habits and expectations in all types of settings (business, education, entertainment, service production, tourism, manufacture, …), but also set new requirements for institutions. One of them is online access to digitised authentic materials, which creates added value for users and institutions.The process includes selection, digitisation, format processing, annotation and information retrieval conducted on the collection of materials from the Archives of the Faculty of Humanities and Social Sciences, University of Zagreb, consisting of minutes from the Faculty Council meetings from 1874 until the digital era. Results confirm the presented process as one of possible solutions but requires planned strategy and interdisciplinary approach.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Informacijske i komunikacijske znanosti



POVEZANOST RADA


Projekti:
NadSve-Sveučilište u Zagrebu-43-922-1011 - Disruptivne tehnologije u stvaranju novoga znanja: strojno učenje i podatkovna analitika s modelima primjene u specijaliziranim domenama (Seljan, Sanja, NadSve - Natječaj za dodjelu sredstava za financiranje temeljne znanstvene djelatnosti u 2019. godini dodijeljenih Filozofskom fakultetu Sveučilištu u Zagrebu) ( CroRIS)

Ustanove:
Filozofski fakultet, Zagreb

Profili:

Avatar Url Hrvoje Stančić (autor)

Avatar Url Ivan Dunđer (autor)

Avatar Url Sanja Seljan (autor)


Citiraj ovu publikaciju:

Stančić, Hrvoje; Seljan, Sanja; Dunđer, ivan
Using digitised documents as a source for machine learning // ENTerprise REsearch InNOVAtion Conference – ENTRENOVA 2020
Zagreb, Hrvatska, 2020. (predavanje, međunarodna recenzija, neobjavljeni rad, znanstveni)
Stančić, H., Seljan, S. & Dunđer, i. (2020) Using digitised documents as a source for machine learning. U: ENTerprise REsearch InNOVAtion Conference – ENTRENOVA 2020.
@article{article, author = {Stan\v{c}i\'{c}, Hrvoje and Seljan, Sanja and Dun\djer, ivan}, year = {2020}, keywords = {digitisation, OCR, ML}, title = {Using digitised documents as a source for machine learning}, keyword = {digitisation, OCR, ML}, publisherplace = {Zagreb, Hrvatska} }
@article{article, author = {Stan\v{c}i\'{c}, Hrvoje and Seljan, Sanja and Dun\djer, ivan}, year = {2020}, keywords = {digitisation, OCR, ML}, title = {Using digitised documents as a source for machine learning}, keyword = {digitisation, OCR, ML}, publisherplace = {Zagreb, Hrvatska} }




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