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The Blossoming of the Semantic Web:
Linked Open Data and the American Art Collaborative

Diana Folsom

Eleanor Fink:

Head...
AmericanArtCollaborative.org
LINKED OPEN DATA LANDSDCAPE
Eleanor E. Fink, Art and Technology Consultant
Linked Open Data
A method of publishing structured data so that it can be
interlinked and become more useful
Uses a markup...
facts:
<subject> <predicate> <object>
using W3C standards (RDF)

Linked Data
links between facts from different
databases
...
Linked Open Data tears down data silos
LOD CLOUD
Window to Universe of Knowledge
Linked Open Data
•
•

tears down data silos
provides seamless access across
museums and world of knowledge (articles,
obje...
Linked Open Data

•

deepens experience of audiences and reaches
new audiences
• can engage audiences in research and chan...
American Art Collaborative
American Art Collaborative
connections across websites and world of knowledge
Smithsonian American Art Museum
and USC Information Sciences
Institute
How We Did It
Rachel Allen, Deputy Director, SAAM a...
The American Art Museum
A National Mandate and a
Populist Approach
American Art’s Technology Goals






Be a crossroads for American art
Lead in use of new media
Experiment with techn...
Benefits of Linked Open Data







Make our collections data more discoverable
Allow for sophisticated queries abou...
Our Team Questions about LOD





Will it take too much time to prepare our data?
How does LOD differ from a Google se...
Five Phases to Linked Open Data






Prepare the data
Determine the ontology
Map the data to RDF
Link to hub dataset...
Linking the American Art Museum to the Cloud
The Process: SAAM Ontology
Linking the American Art Museum to the Cloud
The Process
Mapping the Data to RDF (Resource Description Framework)
• Used K...
Ontology: CRM
Ontology: EDM2





distinguishing between a 'provided item' (painting, book) and its
digital representations
distingu...
Information Sciences Institute

Early work with DARPA and creation of
Internet
Current work also with private sector, NSF,...
ISI Research Environment is Unique in Academia:
5-10 Year Full Research-To-Transition Cycle
BASIC
RESEARCH

PhD
theses
Gra...
ISI’s Expertise
http://isi.edu/integration/karma
KARMA
A Data Integration Tool that eliminates data silos
KARMA






KARMA, open source, semi-automated,
interactive, data integration tool that makes LOD
conversion easy
Initi...
KARMA





Can accept data in all major formats
including spreadsheets, and XML
Works with any ontology that a client
...
KARMA
Increases data accuracy
Scales to large databases
Keeps Linked Data up-to-date
Karma’s Current Audience
Intelligence
Science
Cultural Heritage

Entertainment
…anyone who needs to
tear down data silos
Link Curation

University of Southern California

Pedro Szekely and Craig Knoblock
PROCESS: LINKING EXTERNALLY
Completed:
• DBPedia - 2,194
• New York Times – 70
• Getty Union List of Artist Names - 2,110 ...
Match Precision Linking Museum Data

DBPedia
New York Times

University of Southern California

2,194
70

Getty ULAN®
Rijk...
University of Southern California

Pedro Szekely and Craig Knoblock
Immediate Next Steps





Verify geographic place links
Add other additional links
Develop an ongoing management plan
...
Future Applications







Improve artist representation on Wikipedia
Embed LOD into our website
Tag and link museum...
Multimedia Stories
ESWC 2013
Extended Semantic Web Conference
Benefits and Opportunities
Linked Open Data can:
Create connections across diverse systems,
(locally, regionally, around t...
Next Steps
The Semantic Web needs more cultural information
Become a part of the LOD cloud and help us build a
critical ma...
Join Us
Thank You
Questions and Discussion
The Blossoming of the Semantic Web
The Blossoming of the Semantic Web
The Blossoming of the Semantic Web
The Blossoming of the Semantic Web
The Blossoming of the Semantic Web
The Blossoming of the Semantic Web
The Blossoming of the Semantic Web
The Blossoming of the Semantic Web
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Linked Open Data and the American Art Collaborative

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  • An augmented version of Europeana Data Model v.2 for overall framework; SKOS for classification of artworks, artist and place names; Dublin Core for tombstone data; RDA Group 2 Elements for biographical information; schema.org for geographical data.
  • The Blossoming of the Semantic Web

    1. 1. Brought to you by Live streaming and video recordings made possible by
    2. 2. The Blossoming of the Semantic Web: Linked Open Data and the American Art Collaborative Diana Folsom Eleanor Fink: Head of Collection Digitization Art and Technology Advisor and Project Coordinator Thomas Gilcrease Institute of American History and Culture (Gilcrease Museum) Information Sciences Institute, USC Rachel Allen: Pedro Szekely Deputy Director Project Leader Smithsonian American Art Museum Information Sciences Institute, USC Shane Richey Digital Media Manager Crystal Bridges Museum of American Art
    3. 3. AmericanArtCollaborative.org
    4. 4. LINKED OPEN DATA LANDSDCAPE Eleanor E. Fink, Art and Technology Consultant
    5. 5. Linked Open Data A method of publishing structured data so that it can be interlinked and become more useful Uses a markup language called RDF that allows the relationship between subject, predicate, and object to be tagged explicitly so that when you are searching using Linked Open Data you don’t get the “noise” or unrelated information you get with a Google search
    6. 6. facts: <subject> <predicate> <object> using W3C standards (RDF) Linked Data links between facts from different databases like links between Web pages University of Southern California Pedro Szekely and Craig Knoblock
    7. 7. Linked Open Data tears down data silos
    8. 8. LOD CLOUD Window to Universe of Knowledge
    9. 9. Linked Open Data • • tears down data silos provides seamless access across museums and world of knowledge (articles, objects in other museums ,obituaries, Wikipedia, New York Times, etc.) • provides rich content that supports K-12 education around the country
    10. 10. Linked Open Data • deepens experience of audiences and reaches new audiences • can engage audiences in research and change how museums connect with people • can lead to innovative funding through new applications
    11. 11. American Art Collaborative
    12. 12. American Art Collaborative connections across websites and world of knowledge
    13. 13. Smithsonian American Art Museum and USC Information Sciences Institute How We Did It Rachel Allen, Deputy Director, SAAM and Eleanor E. Fink, Art and Technology Consultant
    14. 14. The American Art Museum
    15. 15. A National Mandate and a Populist Approach
    16. 16. American Art’s Technology Goals      Be a crossroads for American art Lead in use of new media Experiment with technology Expand outreach Attract the born-digital generation
    17. 17. Benefits of Linked Open Data       Make our collections data more discoverable Allow for sophisticated queries about data Create connections with other museums Create connections with other resources Create connections with dispersed content on social media Help us better adapt to the changing web
    18. 18. Our Team Questions about LOD     Will it take too much time to prepare our data? How does LOD differ from a Google search? Is it foolish to do before standards are in place? What if people do inappropriate things with our data?  Will it be worth the time and effort in the end?  How do we handle our non-public data?
    19. 19. Five Phases to Linked Open Data      Prepare the data Determine the ontology Map the data to RDF Link to hub datasets Publish the data.
    20. 20. Linking the American Art Museum to the Cloud The Process: SAAM Ontology
    21. 21. Linking the American Art Museum to the Cloud The Process Mapping the Data to RDF (Resource Description Framework) • Used KARMA tool to model the data (http://www.isi.edu/integration/karma/)
    22. 22. Ontology: CRM
    23. 23. Ontology: EDM2     distinguishing between a 'provided item' (painting, book) and its digital representations distinguishing between an item and the metadata record describing it allowing the ingestion of multiple records for the same item, which may contain contradictory statements about it EDM re-uses elements coming from already-established vocabularies, such as Dublin Core, OAI-ORE, SKOS and CIDOC-CRM
    24. 24. Information Sciences Institute Early work with DARPA and creation of Internet Current work also with private sector, NSF, government, military, museums etc. E.g. R & D, cyber security, internet protocols, Linked Open Data, etc.
    25. 25. ISI Research Environment is Unique in Academia: 5-10 Year Full Research-To-Transition Cycle BASIC RESEARCH PhD theses Graduate projects CROSS-DISCIPLINARY RESEARCH & INTEGRATION DEPLOYMENT & COMMERCIALIZATION ISI Startups CrossDisciplinary Multi-Institutional Collaborations Collabs w/ companies & customers Academic and Curriculum Development, Teaching Broad Range of Expertise and Interests Faster and Comprehensive Delivery of Basic Research Products NSF, AFOSR, NIH, NRL DARPA, NSF, NIH, DTO SOCOM, DARPA, AFRL
    26. 26. ISI’s Expertise http://isi.edu/integration/karma
    27. 27. KARMA A Data Integration Tool that eliminates data silos
    28. 28. KARMA    KARMA, open source, semi-automated, interactive, data integration tool that makes LOD conversion easy Initially developed for the Intelligence Advanced Research Projects Activity (IARPA). Now has been applied to 44,000 records from SAAM and several other museums Self learning (learns from patterns with each mapping)
    29. 29. KARMA     Can accept data in all major formats including spreadsheets, and XML Works with any ontology that a client chooses High accuracy rate (SAAM over 94% matching score) Staff can interact with tool to make adjustments
    30. 30. KARMA Increases data accuracy Scales to large databases Keeps Linked Data up-to-date
    31. 31. Karma’s Current Audience Intelligence Science Cultural Heritage Entertainment …anyone who needs to tear down data silos
    32. 32. Link Curation University of Southern California Pedro Szekely and Craig Knoblock
    33. 33. PROCESS: LINKING EXTERNALLY Completed: • DBPedia - 2,194 • New York Times – 70 • Getty Union List of Artist Names - 2,110 Rijksmuseum dataset – 551 • In the Future: • Places • Concepts • Other museum datasets • Social media content
    34. 34. Match Precision Linking Museum Data DBPedia New York Times University of Southern California 2,194 70 Getty ULAN® Rijksmuseum Geonames 2,110 551 3,068 Pedro Szekely and Craig Knoblock
    35. 35. University of Southern California Pedro Szekely and Craig Knoblock
    36. 36. Immediate Next Steps     Verify geographic place links Add other additional links Develop an ongoing management plan Take over hosting of the OWLIM database  Publish and announce the SPARQL endpoint
    37. 37. Future Applications       Improve artist representation on Wikipedia Embed LOD into our website Tag and link museum social media content Expand our use of LOD to enhance research Relationship finder application for curating stories Encourage development of museum applications
    38. 38. Multimedia Stories
    39. 39. ESWC 2013 Extended Semantic Web Conference
    40. 40. Benefits and Opportunities Linked Open Data can: Create connections across diverse systems, (locally, regionally, around the globe)  Provide new ways to conduct business, find information, develop applications  Lead to discovery of new research and new ideas across disciplines 
    41. 41. Next Steps The Semantic Web needs more cultural information Become a part of the LOD cloud and help us build a critical mass of linked cultural data! Together we can Seek funding for data conversion and ongoing maintenance Provide tools like KARMA Develop training and education about linked open data Build a collaborative and supportive network of practitioners
    42. 42. Join Us
    43. 43. Thank You Questions and Discussion

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