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The Blossoming of the Semantic Web

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Linked Open Data and the American Art Collaborative

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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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