IFLA Library Reference Model and Schema.org for Semantic Enrichment of Library Catalogs.
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| Title: | IFLA Library Reference Model and Schema.org for Semantic Enrichment of Library Catalogs. |
|---|---|
| Authors: | Ferreira Machado, Dayane Onaga1 onagadayane@gmail.com, Simionato Arakaki, Ana Carolina1,2 ana.arakaki@unb.br |
| Source: | Knowledge Organization. Apr2026, Vol. 53 Issue 2, p1-12. 12p. |
| Subjects: | Library catalogs, International Federation of Library Associations & Institutions, Library science, Semantic integration (Computer systems), Bibliographic databases, Open data movement, Data harmonization |
| Abstract: | Libraries are widely recognized for providing relevant and reliable information through digital catalogs. However, the traditional formats used in cataloging do not support effective data sharing on the web. To address current informational demands and expand access, the modernization of catalogs is essential. This article proposes a theoretical alignment between the International Federation of Library Associations and Institutions Library Reference Model (IFLA LRM) and Schema.org. Specifically, it establishes a crosswalk mapping attributes from IFLA LRM entities (Work, Expression, Manifestation, and Item) to Schema.org's CreativeWork properties, aiming to support the semantic enrichment of library catalogs. The research adopts a qualitative, exploratory approach, using the crosswalk technique to map attributes of IFLA LRM entities (Work, Expression, Manifestation, and Item) to Schema.org CreativeWork properties. The Library Reference Model provides a strong foundation for bibliographic data modeling, enabling alignment with metadata standards and semantic vocabularies. However, the entities and attributes of IFLA LRM are not fully compatible with the types and properties defined in Schema.org, as the models serve different purposes. Even so, both IFLA LRM and Schema.org offer flexible data structures that allow for adaptation. This study addresses a gap in the literature on interoperability between IFLA LRM and Schema.org and offers insights into their potential alignment for the semantic enrichment of library catalogs. Aligning these models may promote greater openness and interoperability with web search engines, thereby enhancing user experience and increasing interaction with and exploration of library catalogs. [ABSTRACT FROM AUTHOR] |
| Copyright of Knowledge Organization is the property of IMR Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 193667665 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: IFLA Library Reference Model and Schema.org for Semantic Enrichment of Library Catalogs. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Ferreira+Machado%2C+Dayane+Onaga%22">Ferreira Machado, Dayane Onaga</searchLink><relatesTo>1</relatesTo><i> onagadayane@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Simionato+Arakaki%2C+Ana+Carolina%22">Simionato Arakaki, Ana Carolina</searchLink><relatesTo>1,2</relatesTo><i> ana.arakaki@unb.br</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Knowledge+Organization%22">Knowledge Organization</searchLink>. Apr2026, Vol. 53 Issue 2, p1-12. 12p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Library+catalogs%22">Library catalogs</searchLink><br /><searchLink fieldCode="DE" term="%22International+Federation+of+Library+Associations+%26+Institutions%22">International Federation of Library Associations & Institutions</searchLink><br /><searchLink fieldCode="DE" term="%22Library+science%22">Library science</searchLink><br /><searchLink fieldCode="DE" term="%22Semantic+integration+%28Computer+systems%29%22">Semantic integration (Computer systems)</searchLink><br /><searchLink fieldCode="DE" term="%22Bibliographic+databases%22">Bibliographic databases</searchLink><br /><searchLink fieldCode="DE" term="%22Open+data+movement%22">Open data movement</searchLink><br /><searchLink fieldCode="DE" term="%22Data+harmonization%22">Data harmonization</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Libraries are widely recognized for providing relevant and reliable information through digital catalogs. However, the traditional formats used in cataloging do not support effective data sharing on the web. To address current informational demands and expand access, the modernization of catalogs is essential. This article proposes a theoretical alignment between the International Federation of Library Associations and Institutions Library Reference Model (IFLA LRM) and Schema.org. Specifically, it establishes a crosswalk mapping attributes from IFLA LRM entities (Work, Expression, Manifestation, and Item) to Schema.org's CreativeWork properties, aiming to support the semantic enrichment of library catalogs. The research adopts a qualitative, exploratory approach, using the crosswalk technique to map attributes of IFLA LRM entities (Work, Expression, Manifestation, and Item) to Schema.org CreativeWork properties. The Library Reference Model provides a strong foundation for bibliographic data modeling, enabling alignment with metadata standards and semantic vocabularies. However, the entities and attributes of IFLA LRM are not fully compatible with the types and properties defined in Schema.org, as the models serve different purposes. Even so, both IFLA LRM and Schema.org offer flexible data structures that allow for adaptation. This study addresses a gap in the literature on interoperability between IFLA LRM and Schema.org and offers insights into their potential alignment for the semantic enrichment of library catalogs. Aligning these models may promote greater openness and interoperability with web search engines, thereby enhancing user experience and increasing interaction with and exploration of library catalogs. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Knowledge Organization is the property of IMR Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.31083/KO47266 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 1 Subjects: – SubjectFull: Library catalogs Type: general – SubjectFull: International Federation of Library Associations & Institutions Type: general – SubjectFull: Library science Type: general – SubjectFull: Semantic integration (Computer systems) Type: general – SubjectFull: Bibliographic databases Type: general – SubjectFull: Open data movement Type: general – SubjectFull: Data harmonization Type: general Titles: – TitleFull: IFLA Library Reference Model and Schema.org for Semantic Enrichment of Library Catalogs. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ferreira Machado, Dayane Onaga – PersonEntity: Name: NameFull: Simionato Arakaki, Ana Carolina IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 09437444 Numbering: – Type: volume Value: 53 – Type: issue Value: 2 Titles: – TitleFull: Knowledge Organization Type: main |
| ResultId | 1 |
