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Opredelitev izhodišč za digitalizacijo cerkvenih matičnih knjig
ID MIKLAVČIČ, ROK (Author), ID Vavpotič, Damjan (Mentor) More about this mentor... This link opens in a new window

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Abstract
Cerkvene matične knjige predstavljajo pomemben del zgodovine Slovenije, vendar je dostop do teh podatkov trenutno zelo omejen in zapleten. Glavni rezultat diplomskega dela je uspešno razvit prototip, ki obsega komponente spletne aplikacije za vnos zapisov matičnih knjig s predlagano strukturo podatkov. V začetnem delu smo opravili analizo trenutne organizacije cerkvenih matičnih knjig in obstoječih rešitev, razvitih za digitalizacijo matičnih knjig. Na podlagi analize smo razvili koncept podatkovnega modela. Po razvoju komponent smo izvedli testiranje na konkretnih podatkih iz obstoječih matičnih knjig.

Language:Slovenian
Keywords:matične knjige, aplikacija na eni strani, PostgreSQL, Angular
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FRI - Faculty of Computer and Information Science
Year:2021
PID:20.500.12556/RUL-129847 This link opens in a new window
COBISS.SI-ID:76752643 This link opens in a new window
Publication date in RUL:08.09.2021
Views:704
Downloads:53
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Secondary language

Language:English
Title:Defining the basis of parish registers digitalization
Abstract:
Parish registers represent an important part of Slovenia's history, but access to this information is currently very limited and complex. The main result of the thesis is the successfully developed prototype, which includes components of the web application, that allows users to enter parish registers with the proposed data structure. In the initial part of the thesis, we performed an analysis of the current organization of parish registers and existing solutions developed for digitization of the registers. Based on the analysis, we developed the concept of a data model. After the development of the components, we performed testing on concrete data from existing parish registers.

Keywords:parish register, single-page application, PostgreSQL, Angular

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