Digital repository of Slovenian research organisations

Show document
A+ | A- | Help | SLO | ENG

Title:Možnosti uporabe umetne inteligence v rodoslovju: metodološki premislek na primeru slovenske emigrantske družine Ložar/Lozar iz Elyja v Minnesoti
Authors:ID Hazemali, David (Author)
ID Gostenčnik, Nina (Author)
ID Borovič, Mladen (Author)
Files:URL URL - Source URL, visit https://www.pokarh-mb.si/storage/app/media/Moderna_arhivistika_2025_2/13_Hazemali_2025.pdf
 
.pdf PDF - Presentation file, download (1,04 MB)
MD5: BD7D28B634374423FAC2A34D7FEF6A23
 
Language:Slovenian
Typology:1.01 - Original Scientific Article
Organization:Logo PAM - Regional Archives Maribor
Abstract:Prispevek predstavlja metodološki premislek o možnostih uporabe umetne inteligence (UI) v rodoslovju na primeru slovenske emigrantske družine Ložar/Lozar iz Prigorice pri Ribnici, ki se ob koncu 19. in na začetku 20. stoletja preseli v Ely v Minnesoti. Izhodišče je Genealoški dokazni standard (GDS), ki določa "razumno izčrpno iskanje" virov, natančno navajanje, analizo in korelacijo informacij, razreševanje nasprotij ter oblikovanje preverljivega sklepa. Najprej pokažemo, kako klasična rodoslovna metoda, zasidrana v zgodovinopisni kritiki virov, vodi do dokaza o sorodstvenem razmerju med Frankom Lozarjem starejšim in Frankom Lozarjem mlajšim. Nato konceptualno obravnavamo tri skupine orodij UI – pogovorne sisteme, OCR/HTR in prepoznavanje imenovanih entitet (NER) – ter na študiji primera družine Ložar/Lozar pokažemo, kako lahko dopolnijo iskanje, transkripcijo in strukturiranje gradiva. Sklepno poudarimo, da morajo digitalni izhodi ostati hipoteze, ki dokazno veljavo pridobijo šele z verificiranjem po načelih GDS, in zagovarjamo hibridni model, v katerem UI deluje kot infrastrukturna podpora klasičnemu rodoslovnemu raziskovanju.
Keywords:umetna inteligenca, digitalna humanistika, genealogija, slovensko izseljenstvo, pogovorni sistemi, OCR, HTR, NER, Združene države Amerike
Publication status:Published
Publication version:Version of Record
Publication date:01.01.2025
Year of publishing:2025
Number of pages:str. 254-278
Numbering:Letn. 8, št. 2
PID:20.500.12556/DiRROS-31563 New window
UDC:929.5:004.89
ISSN on article:2591-0884
DOI:10.54356/MA/2025/EETZ1766 New window
COBISS.SI-ID:268284675 New window
Note:Nasl. z nasl. zaslona; Opis vira z dne 12. 2. 2026;
Publication date in DiRROS:05.08.2026
Views:33
Downloads:17
Metadata:XML DC-XML DC-RDF
:
Copy citation
  
Share:Bookmark and Share


Hover the mouse pointer over a document title to show the abstract or click on the title to get all document metadata.

Record is a part of a journal

Title:Moderna arhivistika : časopis arhivske teorije in prakse
Publisher:Pokrajinski arhiv
ISSN:2591-0884
COBISS.SI-ID:292560384 New window

Document is financed by a project

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:Z5-60179-2025
Name:Prilagoditev v stiski: južnoslovanski "sovražni tujci" iz Avstro-Ogrske v ZDA med prvo svetovno vojno

Licences

License:CC BY-NC-SA 4.0, Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International
Link:http://creativecommons.org/licenses/by-nc-sa/4.0/
Description:A Creative Commons license that bans commercial use and requires the user to release any modified works under this license.

Secondary language

Language:English
Title:Možnosti uporabe umetne inteligence v rodoslovju
Abstract:This article offers a methodological reflection on the use of artificial intelligence in genealogy, based on the case study of the Slovenian emigrant family Ložar/Lozar from Prigorica near Ribnica, who settled in Ely, Minnesota, at the turn of the twentieth century. Our point of departure is the Genealogical Proof Standard (GPS), which requires reasonably exhaustive research, accurate citation, analysis and correlation of information, resolution of conflicts, and a sound conclusion. We first show how the classical genealogical method, grounded in historical source criticism, leads to a documented proof of the kinship between Frank Lozar Sr and Frank Lozar Jr. We then conceptually examine three groups of AI-supported tools – conversational systems, OCR/HTR, and named entity recognition (NER) – and discuss how they can complement searching, transcription, and the structuring of sources. We conclude by arguing that digital outputs should be treated as hypotheses that acquire evidentiary force only through GPS-guided verification, and we advocate a hybrid model in which AI functions as infrastructural support to traditional genealogical research.
Keywords:artificial intelligence, digital humanities, genealogy, Slovenian emigration, chatbots, OCR, HTR, NER, United States


Back