Expanding Machine-Readable Access Methods for Collections
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Eleanor E. Fink discusses the benefits of linked open data (LOD) for museums, emphasizing its ability to provide structured and interconnected information. The American Art Collaborative is developing a federated LOD model to enhance access and accuracy of cultural data across various institutions. Upcoming plans include converting data to LOD, implementing APIs, and developing tools to facilitate research and outreach.
Expanding Machine-Readable Access Methods for Collections
- 1. New Orleans November 16-17, 2015 Expanding Machine-Readable Access Methods for Collections Tearing Down Data Silos with Linked Open Data Eleanor E. Fink, Manager American Art Collaborative
- 2. Eleanor E. Fink Linked Open Data •A method of publishing structured data so that it can be interconnected and become more useful. •Uses a mark up language called RDF. When combined with a domain ontology the relationship between subject, predicate, and object can be tagged explicitly. •As a result when you are searching using LOD you don’t get the “noise” or unrelated information you get with online searching.
- 3. Linked Data facts: <subject> <predicate> <object> using W3C standards (RDF) links between facts from different databases like links between Web pages Pedro Szekely and Craig KnoblockUniversity of Southern California Eleanor E. Fink
- 4. A Google search for “winslow homer theft” retrieves documents that users must read to extract relevant information information
- 5. Interlinked LOD resources relevant to locating stolen or looted cultural property
- 6. Eleanor E. Fink American Art Collaborative LOD
- 7. Window to the World of Knowledge
- 8. Eleanor E. Fink Tear Down Data Silos Provide Open Access
- 9. American Art Collaborative Eleanor E. Fink Consortium of museums who have come together to learn about and implement LOD within their respective museums. AAC is developing its LOD under a federated model whereby each AAC member assumes responsibility for updating and maintaining its own data. http://americanartcollaborative.org/
- 10. AAC Partners •Amon Carter Museum of American Art •Archives of American Art, Smithsonian Institution •Autry National Center •Colby College Museum of Art •Crystal Bridges Museum of American Art •Dallas Museum of Art (DMA) •Indianapolis Museum of Art (IMA) •Thomas Gilcrease Institute of American History and Art •National Portrait Gallery, Smithsonian Institution •National Museum of Wildlife Art •Princeton University Art Museum •Smithsonian American Art Museum (SAAM) •Walters Art Gallery
- 11. Andrew W. Mellon Foundation Planning Grant American Art Collaborative Linked Open Data Initiative (AAC) Education Mission Statement Commitment Road Map Eleanor E. Fink
- 12. IMLS Leadership Grant Matching Grant Pending Road Map over next 12- 21 Months • Convert data to LOD using the CIDOC CRM • Link to the Getty Vocabularies as well as contribute missing names to enhance the vocabularies • Implement an API and reader compliant with the International Image Interoperability Framework (IIIF) that will allow researchers to compare and contrast AAC LOD • Develop several open source tools including a link curation tool and IIIF/CRM translator Eleanor E. Fink
- 13. • Develop browse demonstration • Open access • Link to other LOD nodes (DPLA, Research Space, Europeana) • Publish best practices and lessons learned Eleanor E. Fink
- 14. Rationale Eleanor E. Fink •Learn together as a collaborative; build a critical mass to explore and demo value of LOD •As primary holders of art objects and data AAC members want to make sure LOD is accurate •More precise results when searching(Semantic Web) •Build richer contexts for inquiry by integrating data from different sources
- 15. •Interest in access across the partnership as well as linking to other LOD nodes: providing more knowledge than any single institution •Cross domain searching as a window to the world of knowledge •Greater visibility; more outreach •Collaborative platform potential (curator to curator) Eleanor E. Fink
- 16. LOD Data Conversion via Karma (USC, ISI) • Karma, open source, semi-automated, data integration tool that makes LOD conversion easy • Initially developed by ISI 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)
- 17. 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 95% matching score) • Staff can interact with tool to make adjustments • Scales to large databases
- 19. CIDOC CRM ontology 82 classes and 263 properties including relationships Events (e.g., creation, production, attribute assignment), Immaterial things (e.g., information objects, appellations, rights) Material things (e.g., actors, physical things, man-made objects) Eleanor E. Fink
- 20. Eleanor E. Fink
- 21. Slide by Design for Context
- 22. AAC Vision