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Digitalization of transcriptions from Kindgom of the Serbs, Croats and Slovenes and Kingdom of Yugoslavia between 1919 and 1939

Authors: Česenj Vodovnik, Nik;

Digitalization of transcriptions from Kindgom of the Serbs, Croats and Slovenes and Kingdom of Yugoslavia between 1919 and 1939

Abstract

S hitrim razvojem tehnologije je priporočljiva in pomembna strategija arhiviranja dokumentov različnih vrst, ki so ustvarjeni vsak dan. Rešitev je zaradi števila organizacij v javni upravi in tudi v gospodarstvu veliko, s čimer se izgubi enotnost že pri podrobnejših zapisanih procesih. Namen diplomskega dela je potrditev postavljene hipoteze, ki ob pridobitvi dokumentov iz zgodovine le-te uspešno digitalizira po pravilih že ustvarjene in znane strategije. Glavni cilj diplomskega dela je razumevanje procesa digitalizacije in transformacije obravnavanih stenografskih dokumentov iz časa Države SHS in Kraljevine Jugoslavije. Programska rešitev je bila razvita v programskem jeziku Python s pomočjo zunanjih programskih knjižnic za obdelavo podatkov ter s smernicami in pravili evropskega projekta ParlaMint. Vpeljan je edinstven proces digitalizacije za skenirane stenografske dokumente, ki s pomočjo ustvarjene programske rešitve transformira zasedanja v primerljiv končni izdelek v obliki mape digitalnih datotek že ustvarjenim rešitvam po obravnavanih pravilih in smernicah. Obravnavani so tudi proces prepoznave vsebine ter določanje ocene napake in razpoznavanje gradnikov, ki sestavljajo posamezen dokument. Z izdelavo strategije digitalizacije po vnaprej določenih pravilih je končni izdelek primerljiv z digitalno knjižnico ostalih digitaliziranih skupin zasedanj, ki so jih ustvarile razne organizacije. Končni izdelek je lahko obravnavan na enak način, medtem ko je raziskovanje možno aplicirati na več strok. Zaradi narave obravnavanih stenografskih dokumentov vsebina lahko vpliva na pogled zgodovine, antropologije in lingvistike. With rapid improvements in technology every day, there are multiple strategies of archiving and digitalization that are recommended and important. Number of solutions in public administration and other organizations in economy is quickly rising because of organizations, where unity of similar processes is being lost. The main objective is a retrievement of the observed document from history, which were being digitalized by rules of already made and known strategy. Main target is understanding the process of digitalization and a transformation of the observed sample of transcriptions from the Kingdom of Serbs, Croats and Slovenes and Kingdom of Yugoslavia. The solution was created with Python programming language with help with few of programming libraries for handling data and rules of European project ParlaMint. A unique process was established for digitalization of scanned transcription documents that is created with a programming solution which transforms parliamentary session to a folder of digital files which are comparable to already made solutions based on the ParlaMint rules. Process of identifying content based on computer vision is explored as well, calculating an error rate and identifying segment blocks that together build a specific document. For creation of digitalization strategy, based on already created rules, the final solution is comparable with a digital library of other digitalized parliamentary sessions that were created by other organizations which are members of the project. Final product can be treated equally, research can be applicable to many professions which can be affected in studies of history, anthropology and linguistics.

Country
Slovenia
Related Organizations
Subjects by Vocabulary

Universal Decimal Classification: udc:004.774:001.103.2:003.27(497.1)(043.2)

Keywords

stenografija, stenography, seja, metadata, ParlaMint, digitalization, digitalizacija, metapodatki, session

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  • citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
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