View in EDS

Epistemic Justice and Linked Data: Balancing Global Interoperability and Community Knowledge.

Saved in:
Bibliographic Details
Title: Epistemic Justice and Linked Data: Balancing Global Interoperability and Community Knowledge.
Authors: Clunis, Julaine (AUTHOR)
Source: Library Trends. May2026, Vol. 74 Issue 4, p649-678. 30p.
Subject Terms: *Cultural pluralism, Linked data (Semantic Web), Justice, Information architecture, Local knowledge, Internetworking, Knowledge representation (Information theory)
Abstract: Linked data technologies present significant opportunities for enhancing interoperability across distributed information systems. This article examines linked data as a boundary object that facilitates knowledge exchange between heterogeneous communities, while addressing technical challenges in representing diverse epistemological frameworks and advancing epistemic justice. Through an analysis of three implementation cases—Mukurtu, Wikidata, and Linked Jazz—this study demonstrates how linked data architectures can accommodate varied knowledge representation requirements while maintaining technical coherence. The findings suggest that boundary object theory offers a valuable framework for understanding and optimizing linked data implementations in culturally diverse contexts, revealing patterns of epistemic mediation that can inform the design of more equitable knowledge infrastructures. [ABSTRACT FROM AUTHOR]
Copyright of Library Trends is the property of Johns Hopkins University 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: Education Research Complete
FullText Text:
  Availability: 0
Header DbId: ehh
DbLabel: Education Research Complete
An: 194555644
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Epistemic Justice and Linked Data: Balancing Global Interoperability and Community Knowledge.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Clunis%2C+Julaine%22">Clunis, Julaine</searchLink> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Library+Trends%22">Library Trends</searchLink>. May2026, Vol. 74 Issue 4, p649-678. 30p.
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: *<searchLink fieldCode="DE" term="%22Cultural+pluralism%22">Cultural pluralism</searchLink><br /><searchLink fieldCode="DE" term="%22Linked+data+%28Semantic+Web%29%22">Linked data (Semantic Web)</searchLink><br /><searchLink fieldCode="DE" term="%22Justice%22">Justice</searchLink><br /><searchLink fieldCode="DE" term="%22Information+architecture%22">Information architecture</searchLink><br /><searchLink fieldCode="DE" term="%22Local+knowledge%22">Local knowledge</searchLink><br /><searchLink fieldCode="DE" term="%22Internetworking%22">Internetworking</searchLink><br /><searchLink fieldCode="DE" term="%22Knowledge+representation+%28Information+theory%29%22">Knowledge representation (Information theory)</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Linked data technologies present significant opportunities for enhancing interoperability across distributed information systems. This article examines linked data as a boundary object that facilitates knowledge exchange between heterogeneous communities, while addressing technical challenges in representing diverse epistemological frameworks and advancing epistemic justice. Through an analysis of three implementation cases—Mukurtu, Wikidata, and Linked Jazz—this study demonstrates how linked data architectures can accommodate varied knowledge representation requirements while maintaining technical coherence. The findings suggest that boundary object theory offers a valuable framework for understanding and optimizing linked data implementations in culturally diverse contexts, revealing patterns of epistemic mediation that can inform the design of more equitable knowledge infrastructures. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Library Trends is the property of Johns Hopkins University 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.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ehh&AN=194555644
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1353/lib.2026.a991999
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 30
        StartPage: 649
    Subjects:
      – SubjectFull: Cultural pluralism
        Type: general
      – SubjectFull: Linked data (Semantic Web)
        Type: general
      – SubjectFull: Justice
        Type: general
      – SubjectFull: Information architecture
        Type: general
      – SubjectFull: Local knowledge
        Type: general
      – SubjectFull: Internetworking
        Type: general
      – SubjectFull: Knowledge representation (Information theory)
        Type: general
    Titles:
      – TitleFull: Epistemic Justice and Linked Data: Balancing Global Interoperability and Community Knowledge.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Clunis, Julaine
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 05
              Text: May2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 00242594
          Numbering:
            – Type: volume
              Value: 74
            – Type: issue
              Value: 4
          Titles:
            – TitleFull: Library Trends
              Type: main
ResultId 1