| Naslov: | The OpenScience Slovenia metadata dataset |
|---|
| Avtorji: | ID Borovič, Mladen (Avtor)
ID Ferme, Marko (Avtor)
ID Brezovnik, Janez (Avtor)
ID Majninger, Sandi (Avtor)
ID Bregant, Albin (Avtor)
ID Hrovat, Goran (Avtor)
ID Ojsteršek, Milan (Avtor) |
|---|
| Datoteke: |  1-s2.0-S2352340919312971-main.pdf (187,50 KB)
MD5: 96124625CAF8FA1FA4748950BA2D1379
Opis: Podatkovni članek
 https://hdl.handle.net/20.500.12556/DKUM-92889
Opis: Raziskovalni podatki so dosegljivi v digitalnem objektu na DKUM.
https://doi.org/10.17632/7wh9xvvmgk.1
Opis: Raziskovalni podatki so dosegljivi v digitalnem objektu na Mendeley.
|
|---|
| Jezik: | Angleški jezik |
|---|
| Vrsta gradiva: | Neznano |
|---|
| Tipologija: | 1.03 - Drugi znanstveni članki |
|---|
| Organizacija: | FERI - Fakulteta za elektrotehniko, računalništvo in informatiko
|
|---|
| Opis: | The OpenScience Slovenia metadata dataset contains metadata entries for Slovenian public domain academic documents which include undergraduate and postgraduate theses, research and professional articles, along with other academic document types. The data within the dataset was collected as a part of the establishment of the Slovenian Open-Access Infrastructure which defined a unified document collection process and cataloguing for universities in Slovenia within the infrastructure repositories. The data was collected from several already established but separate library systems in Slovenia and merged into a single metadata scheme using metadata deduplication and merging techniques. It consists of text and numerical fields, representing attributes that describe documents. These attributes include document titles, keywords, abstracts, typologies, authors, issue years and other identifiers such as URL and UDC. The potential of this dataset lies especially in text mining and text classification tasks and can also be used in development or benchmarking of content-based recommender systems on real-world data. |
|---|
| Ključne besede: | metadata, real world data, text data, text mining, text identification, natural language processing |
|---|
| Status publikacije: | Objavljeno |
|---|
| Verzija publikacije: | Objavljena publikacija |
|---|
| Datum objave: | 01.02.2020 |
|---|
| Leto izida: | 2020 |
|---|
| Št. strani: | str. 1-5 |
|---|
| Številčenje: | Vol. 28 |
|---|
| PID: | 20.500.12556/DKUM-92888  |
|---|
| UDK: | 004.4 |
|---|
| COBISS.SI-ID: | 23110934 |
|---|
| DOI: | 10.1016/j.dib.2019.104942 |
|---|
| ISSN pri članku: | 2352-3409 |
|---|
| Datum objave v DKUM: | 22.05.2025 |
|---|
| Število ogledov: | 0 |
|---|
| Število prenosov: | 8 |
|---|
| Metapodatki: |    |
|---|
| Področja: | Ostalo
|
|---|
|
:
|
Kopiraj citat |
|---|
| | | | Skupna ocena: | (0 glasov) |
|---|
| Vaša ocena: | Ocenjevanje je dovoljeno samo prijavljenim uporabnikom. |
|---|
| Objavi na: |  |
|---|
Postavite miškin kazalec na naslov za izpis povzetka. Klik na naslov izpiše
podrobnosti ali sproži prenos. |
