From Editorial Records to Structured Provenance Information: Documenting Warrant in Knowledge Organization Systems Using Large Language Models.
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| Title: | From Editorial Records to Structured Provenance Information: Documenting Warrant in Knowledge Organization Systems Using Large Language Models. |
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| Authors: | Yi-Yun Cheng1, yiyun.cheng@rutgers.edu, Inkyung Choi2 |
| Source: | Knowledge Organization; Jun2025, Vol. 52 Issue 3, p1-14, 14p |
| Database: | Applied Science & Technology Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 186907225 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: From Editorial Records to Structured Provenance Information: Documenting Warrant in Knowledge Organization Systems Using Large Language Models. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Yi-Yun+Cheng%22">Yi-Yun Cheng</searchLink><relatesTo>1</relatesTo>, <i>yiyun.cheng@rutgers.edu</i><br /><searchLink fieldCode="AU" term="%22Inkyung+Choi%22">Inkyung Choi</searchLink><relatesTo>2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Knowledge+Organization%22">Knowledge Organization</searchLink>; Jun2025, Vol. 52 Issue 3, p1-14, 14p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=186907225 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.31083/KO39046 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 1 Titles: – TitleFull: From Editorial Records to Structured Provenance Information: Documenting Warrant in Knowledge Organization Systems Using Large Language Models. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Yi-Yun Cheng – PersonEntity: Name: NameFull: Inkyung Choi IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 09437444 Numbering: – Type: volume Value: 52 – Type: issue Value: 3 Titles: – TitleFull: Knowledge Organization Type: main |
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