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Linked Open Data for Libraries, Archives, and Museums: An Aggregators View


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Presented at the American Association of Museums 2012

An accompanying handout can be found here:

Published in: Technology, Education
  • Thanks Tom, it's a great example of data moving from a silo into Linked Data. Is there any documentation of Wikipedia's reluctance to incorporate this kind of structured information?
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  • Just noticed this. Cool to see my U.S. National Register of Historic Places work on Freebase highlighted on slide #20. Thanks! I did that back in 2009. Wikipedia has been steadily catching up ever since (after refusing to collaborate with me), but still lacks the structured aspect (although Wikidata will fix that eventually).
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Linked Open Data for Libraries, Archives, and Museums: An Aggregators View

  1. 1. Linked Open Data for Libraries, Archives, and Museums An aggregators view. Richard J. Urban, Assistant ProfessorAmerican Association of Museums School of Library and Information StudiesMay 2, 2012 Florida State UniversityMinneapolis, MN @musebrarian
  2. 2. Digital Collections & Content Project Opening HistorySowing This project is a collaborationCulture IMLS among: DCC • University of Illinois Library • Graduate School of Library and Information Science (Center for Informatics DPLA Research in Science and Scholarship) Beta Sprint
  3. 3. 3
  4. 4. IMLS Digital Collections & Content
  5. 5. Number ofcollectionsFigure 2: Heat map of U.S. state coverage in DCC & Opening History* aggregation* Note that this map does not reflect collections in U.S. Territories.
  6. 6. Open Archives Initiative Protocol for Metadata Harvesting •CIMI•Federated (Z39.50) •ArtStor •IMLS DCC/OAISter•Aggregated •DLF Aquifer 6 •Museum Data Exchange
  7. 7. WWW - documents with simple relationships 7
  8. 8. Linked Open Data 8
  9. 9. Linked Open Data Archive IMLS DCC Library Museum DPLA 11
  10. 10. ShareableMetadata
  11. 11. Consistency • Use controlled vocabularies. • Use open, linked vocabularies where available. • Use new tools to clean up messy and inconsistent data.
  12. 12. Coherence • Does your data follow a logical model? • Ontology: a model of your interpretation of the world – Resource Description Framework – CIDOC-CRM • Data models: how information is represented – Dublin Core Abstract Model – Europeana Data Model (EDM) – Future Linked Data versions of CDWA/VRACore?
  13. 13. Context • Do your models fit the environment you are sharing with? • Collections/Institutions as important context. • Collections aren’t silos, they are important nodes in a network. They provide important context to resources.
  14. 14. Contextual Contextual mass places the emphasis on collecting materials that work together as a Mass system of sources, with meaningful interrelationships between different types of materials and subjects, to support research inquiry....selection is based on criteria that produce dense, rich, and cohesive groupings of sources for research and analysis. Top Subject Categories in IMLS DCC & Opening History 120 Number of at-least-inclusive collections 100 80 60 40 20 0
  15. 15. Communication • We need to translate human- readable content standards into machine-understandable representations. – Validation of rules – Consistency/coherence checks • Will we open our vocabularies to the world? • Don’t just publish data. Publish: – Your models – How local vocabularies extend shared vocabularies.
  16. 16. Trusted • Libraries, archives, andLinked Data museums have traditionally been trusted sources of information on the Web. • In an “anybody can say anything about anything” world, how do we build a reputation as a source of trusted Linked Open Data
  17. 17. Getting Started withLinked Open Data
  18. 18. Explore Open Data 20
  19. 19. Make Connections 21
  20. 20. Represent Yourself!
  21. 21. HABS/H AER Hagley Wikipedia Library dbPedi a DE State Vessel Archive USN Library of Congress ShipsDatabase NARA
  22. 22. Why • Search Engine OptimizationLinked Data (SEO). (links count) • Allows integration with emerging linked data services. • Watch this space: Bibliographic Framework Transition Initiative
  23. 23. Credits• Grain Elevators, Caldwell, Idaho. Courtesy Library of Congress• Press Building. Archival Photographic Files, [apf2-05961], Special Collections Research Center, University of Chicago Library.• Wagner Flagging Dawson. Courtesy Library of Congress• Aerial view of a freeway interchange in Los Angeles, [s.d.] - USC Libraries Special Collections Doheny Memorial Library• Workers laying keel. Contract 1091.M.C.303 Built for U.S. Maritime Commission, Pusey and Jones Photograph Collection, 1972.35, Hagley Museum and Library