vra 2014 brave new world cataloging, goodlander
DESCRIPTION
Presented by Georgina Goodlander at the Annual Conference of the Visual Resources Association, March 12-15, 2014 in Milwaukee, Wisconsin. Session 11, Brave New World Cataloging: Using RDF and Linked Open Data for the Semantic Web ORGANIZER: Sheryl Frisch, California Polytechnic State University MODERATOR: Trish Rose-Sandler, Center for Biodiversity Informatics, Missouri Botanical Garden PRESENTERS: • Trish Rose-Sandler, Center for Biodiversity Informatics, Missouri Botanical Garden • Jeffrey Mixter, Kent State University Research Support • Georgina Goodlander, Smithsonian American Art Museum • Patricia Harpring, Getty Vocabulary Program, Getty Research Institute RDF (Resource Description Format) and LOD (Linked Open Data) are two key components in the ongoing development of the Semantic Web (the structured linking of web-based information to enable users anywhere to find, share, and combine information more easily). Although we are used to working in information silos much of the time, the Semantic Web can allow data to be discovered, shared and reused across application, enterprise, and community boundaries. The speakers will demonstrate how our existing data (from both VR collections and museums) can be transformed to the RDF format; how the effort can be shared in a community; and how LOD will affect and expand the tools we use daily to provide controlled vocabulary terms.TRANSCRIPT
Linking the Smithsonian American Art Museum
to the Cloud
March, 2014Georgina Goodlander
Smithsonian American Art Museum
@bathlander | [email protected]
The Need
• Museum data exists in silos, is not very findable on the web• It is difficult for users to make connections across collections• Other sources often have more information than we do• Web pages are machine processable, but not machine readable
What we see:
What the computer sees:
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blahblahblahblahblahblahblahblahblahblahblahblahblah blah blah blah blah blah
blahblahblahblahblahblahblahblahblahblahblahblah
Related data across collections
ima:SaamPerson_John_Singer_Sargent
a saam:SaamPerson ;
dct:date "1856-1925" ;
foaf:name "John Singer Sargent"
.
saam:SaamPerson_4253
a saam:SaamPerson ;
saam:associatedPlace
saam:SaamPlace_1357324439768t1r13950_0,
saam:SaamPlace_1357324439768t1r13951_0 ;
saam:constituentId "4253" ;
rdaGr2:biographicalInformation
“Painter. Sargent traveled …" ;
rdaGr2:dateAssociatedWithThePerson "1990-10-1”, "1995-5-8" ;
rdaGr2:dateOfBirth "1856-1-12" ;
rdaGr2:dateOfDeath "1925-4-15" ;
rdaGr2:placeOfBirth saam:SaamPlace_1357324439768t1r13952_0 ;
rdaGr2:placeOfDeath saam:SaamPlace_1357324439768t1r13953_0 ;
skos:altLabel "John S. Sargent" ;
skos:prefLabel "John Singer Sargent" .
cb:SaamPerson_John_Singer_Sargent
a saam:SaamPerson ;
ont0:dateOfBirth "1879", "1885" ;
ont0:dateOfDeath "1925" ;
skos:prefLabel "John Singer Sargent" .
met:SaamPerson_John_Singer_Sargent
a saam:SaamPerson ;
ont0:placeOfResidence
"North and Central America",
"United States" ;
foaf:name "John Singer Sargent" .
dallas:SaamPerson_John_Singer_Sargent
a saam:SaamPerson ;
ont0:dateOfBirth "1856" ;
ont0:dateOfDeath "1925" ;
foaf:name "John Singer Sargent" .
The Solution: Linked Open Data
• Linked: Links between facts from different providers• Open: Use an open license so that everyone can use the data• Data: Use W3C standards (RDF) to describe the data in triples
(<subject> <predicate> <object>)
• <js-sargent> <is-a> <person>• <person> <name> “John Singer Sargent”• <person> <born-in> <city>• <city> <name> “Florence”
The Project
• Working with the Information Sciences Institute (ISI) and Department of Computer Science at the University of Southern California to develop tools for LOD conversion
• Contribute data to the Linked Open Data cloud:• 44,000 artworks• 8,000 artists• 15,000 places
• Leverage the data to build applications for the public, scholars, and educators
• Share the tools and the process with other museums and cultural institutions
The Process
• Select LOD vocabularies and create ontology
The Process
• Map the data to RDF using USC’s data conversion tool (KARMA)
The Process
• Use USC tools for linking museum data to other datasets
The Process
• Publish dataset and all verified links, create web application to browse the contents of the SPARQL endpoint
• https://github.com/InformationIntegrationGroup/saam-lod/wiki
The Process
• Insert links on our website• http://americanart.si.edu/collections/search/
The Dream?
• A tool for curating stories using links:• http://prezi.com/htrvh2jrcsio/curating-stories-with-linked-open-data
American Art Collaborativehttp://americanartcollaborative.org
• Smithsonian American Art Museum• Crystal Bridges Museum of American Art• Dallas Museum of Art (DMA)• Indianapolis Museum of Art (IMA)• Metropolitan Museum of Art• Thomas Gilcrease Institute of American History and Art• National Portrait Gallery, Smithsonian Institution• National Museum of Wildlife Art• Autry National Center• Princeton University Art Museum
ISI’s tools: http://isi.edu/integration/karma