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Linked Open Data for
   Libraries, Archives, and Museums
                       An aggregators view.



                                  Richard J. Urban, Assistant Professor
American Association of Museums
                                  School of Library and Information Studies
May 2, 2012
                                  Florida State University
Minneapolis, MN
                                  rurban@fsu.edu
                                  @musebrarian
Digital Collections & Content Project
                                http://imlsdcc.grainger.illinois.edu



      Opening
      History


Sowing                                    This project is a collaboration
Culture         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
IMLS Digital Collections & Content
Number of
collections




Figure 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.
Open Archives Initiative
      Protocol for Metadata Harvesting




                           •CIMI
•Federated (Z39.50)        •ArtStor
                           •IMLS DCC/OAISter
•Aggregated                •DLF Aquifer
                                                   6
                           •Museum Data Exchange
WWW - documents with simple relationships   7
Linked Open Data   8
Linked Open Data

                          Archive




                   IMLS
                    DCC   Library




                          Museum



                   DPLA




                                11
Shareable
Metadata
Consistency   • Use controlled vocabularies.
              • Use open, linked vocabularies
                where available.
              • Use new tools to clean up
                messy and inconsistent data.
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?
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.
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
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.
Trusted • Libraries, archives, and
Linked 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
Getting Started
      with
Linked Open Data
Explore Open Data




            http://usnris.freebase.com/
                                          20
Make Connections




                   21
Represent
                                                       Yourself!
  http://en.wikipedia.org/wiki/Minnesota_Historical_Society                  http://www.freebase.com/view/en/minnesota_historical_society




http://dpla.grainger.illinois.edu/Results.aspx?st=ciname&pt=browse&id=14   http://dbpedia.org/page/Minnesota_Historical_Society
HABS/H
                       AER       Hagley
 Wikipedia
                                 Library
             dbPedi
               a                         DE
                                        State
                        Vessel         Archive

 USN                                        Library of
                                            Congress
 Ships
Database

                                           NARA
Why    • Search Engine Optimization
Linked Data     (SEO). (links count)
              • Allows integration with
                emerging linked data
                services.
              • Watch this space:
                Bibliographic Framework
                Transition Initiative
               http://www.loc.gov/marc/transition/
Credits
•   Grain Elevators, Caldwell, Idaho. Courtesy Library of Congress
    http://www.flickr.com/photos/library_of_congress/2178285893/
•   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
    http://digitallibrary.usc.edu/search/controller/view/chs-m22750.html?x=1334678405001
•   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
    http://digital.hagley.org/cdm/singleitem/collection/p268001coll9/id/649

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

  • 1. Linked Open Data for Libraries, Archives, and Museums An aggregators view. Richard J. Urban, Assistant Professor American Association of Museums School of Library and Information Studies May 2, 2012 Florida State University Minneapolis, MN rurban@fsu.edu @musebrarian
  • 2. Digital Collections & Content Project http://imlsdcc.grainger.illinois.edu Opening History Sowing This project is a collaboration Culture 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
  • 5. Number of collections Figure 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. Open Archives Initiative Protocol for Metadata Harvesting •CIMI •Federated (Z39.50) •ArtStor •IMLS DCC/OAISter •Aggregated •DLF Aquifer 6 •Museum Data Exchange
  • 7. WWW - documents with simple relationships 7
  • 9.
  • 10.
  • 11. Linked Open Data Archive IMLS DCC Library Museum DPLA 11
  • 13. Consistency • Use controlled vocabularies. • Use open, linked vocabularies where available. • Use new tools to clean up messy and inconsistent data.
  • 14. 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?
  • 15. 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.
  • 16. 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
  • 17. 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.
  • 18. Trusted • Libraries, archives, and Linked 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
  • 19. Getting Started with Linked Open Data
  • 20. Explore Open Data http://usnris.freebase.com/ 20
  • 22. Represent Yourself! http://en.wikipedia.org/wiki/Minnesota_Historical_Society http://www.freebase.com/view/en/minnesota_historical_society http://dpla.grainger.illinois.edu/Results.aspx?st=ciname&pt=browse&id=14 http://dbpedia.org/page/Minnesota_Historical_Society
  • 23. HABS/H AER Hagley Wikipedia Library dbPedi a DE State Vessel Archive USN Library of Congress Ships Database NARA
  • 24. Why • Search Engine Optimization Linked Data (SEO). (links count) • Allows integration with emerging linked data services. • Watch this space: Bibliographic Framework Transition Initiative http://www.loc.gov/marc/transition/
  • 25. Credits • Grain Elevators, Caldwell, Idaho. Courtesy Library of Congress http://www.flickr.com/photos/library_of_congress/2178285893/ • 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 http://digitallibrary.usc.edu/search/controller/view/chs-m22750.html?x=1334678405001 • 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 http://digital.hagley.org/cdm/singleitem/collection/p268001coll9/id/649

Editor's Notes

  1. "Beyond the Silos of the LAMs: Collaboration Among Libraries, Archives and Museums" Report www.oclc.org/research/publications/library/2008/2008-05.pdf
  2. Heavy infrastructure of the OAI-PMH protocol. Intended to move records between organizational partners.
  3. A simple example? Museum Pipes example.