Izpis gradiva

A+ | A- | | SLO | ENG

Naslov: Transforming archival description into semantically enriched form using machine learning Avtorji: ID Sabadin, Ivančica (Avtor) Datoteke: https://journal.almamater.si/index.php/atlantiplus/issue/view/51/41   Sabadin_Ivancica.pdf (6,40 MB) MD5: 6C0B11CC4251FF9E9487E703EB5A6AED   Jezik: Angleški jezik Vrsta gradiva: Neznano Tipologija: 1.01 - Izvirni znanstveni članek Organizacija: UAMEU - Univerza Alma Mater Europaea Opis: Purpose: The purpose of this paper is to determine if it is possible to transform the archival description in the relational database into an ontology with a ma-chine learning algorithm. Method/approach: The research will be based on the CRISP-ML(Q) method. The following steps will be carried out: Business and data understanding; Data preparation; Modelling and Evaluation.Results: After the transformation of the archival description, the Random Forest classification was used to predict the predicate in the semantic triplets. The re-sults obtained were: precision: 86.1% and accuracy: 96.5%.Conclusions / findings: Based on the results, we can conclude that the hypoth-esis was confirmed and that the machine learning algorithms are suitable for transforming the archival description in a structured form into an ontology. Ključne besede: archival description, semantical enrichment, machine learning, RiC-O ontology, KNIME Datum objave: 01.01.2025 Leto izida: 2025 Št. strani: Str. 45-69 Številčenje: [Vol.] 35, [no.] 1 PID: 20.500.12556/ReVIS-14124  UDK: 930.25:004(4) ISSN pri članku: 2670-4560 COBISS.SI-ID: 250077443  Datum objave v ReVIS: 01.07.2026 Število ogledov: 52 Število prenosov: 0 Metapodatki:    Citiraj gradivo Navadno besedilo BibTeX EndNote XML EndNote/Refer RIS ABNT ACM Ref AMA APA Chicago 17th Author-Date Harvard IEEE ISO 690 MLA Vancouver : Kopiraj citat

Objavi na: Postavite miškin kazalec na naslov za izpis povzetka. Klik na naslov izpiše podrobnosti ali sproži prenos.

Gradivo je del revije

Naslov:	Atlanti + : international scientific review for contemporary archival theory and practice
Založnik:	International Institute for Archival Science, Alma Mater Europaea - European Center Maribor
ISSN:	2670-4560
COBISS.SI-ID:	299197440

Sekundarni jezik

Jezik:	Slovenski jezik
Ključne besede:	arhivski opis, semantična obogatitev, strojno učenje, RiC-O ontologija, KNIME

Nazaj