Linked Open Data (LOD) for Library Special Collections

Jacob Jett, Timothy W. Cole, Myung Ja K. Han, Caroline Szylowicz

Research output: Chapter in Book/Report/Conference proceedingConference contribution


The richness of legacy metadata describing items in library special collections can be an asset when these collections are digitized. Transforming legacy metadata into formats that are Linked Open Data (LOD) friendly, maximizes metadata value and better integrates digital library collections into the emerging Semantic Web. This poster details experience with mapping Dublin-Core-based metadata into the Resource Description Framework (RDF) using vocabulary, summarizes challenges encountered and illutrates how such transformations enable additional functionality. Connections into the Semantic Web are enhanced by making item descriptions more accessible to LOD- consuming applications (e.g., Google Structured Data Testing Tool) and enabling the consumption of related LOD resources, thereby enhancing context for users of the collection. The results described here are incomplete but encouraging, suggesting user benefits and illuminating new workflows to explore and develop.

Original languageEnglish (US)
Title of host publication2017 ACM/IEEE Joint Conference on Digital Libraries, JCDL 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538638613
StatePublished - Jul 25 2017
Event17th ACM/IEEE Joint Conference on Digital Libraries, JCDL 2017 - Toronto, Canada
Duration: Jun 19 2017Jun 23 2017

Publication series

NameProceedings of the ACM/IEEE Joint Conference on Digital Libraries
ISSN (Print)1552-5996


Other17th ACM/IEEE Joint Conference on Digital Libraries, JCDL 2017


  • Linked Open Data
  • RDF metadata
  • digital library special collections
  • legacy metadata transformation

ASJC Scopus subject areas

  • General Engineering


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