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Lessons Learned in Building Linked Data for the American Art Collaborative
Published on Nov 28, 20171038 Views
Linked Data has emerged as the preferred method for publishing and sharing cultural heritage data. One of the main challenges for museums is that the defacto standard ontology (CIDOC CRM) is complex a
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Chapter list
Lessons Learned in Building Linked Data for the American Art Collaborative 00:00
Project Goals00:21
Mapping the Data01:36
Use Karma to Map the Data to the Ontology03:29
Example Model of Actor for Amon Carter05:01
Complete Model of Actor for Amon Carter05:29
AAC Data Statistics05:37
AAC Target Mappings06:55
Statistics on the Mappings08:24
Statistics on What Was Mapped09:15
Mapping Lessons09:50
Linking the Data12:17
Link Review Screenshot13:23
Screenshot with Linking Review Results14:07
Summary Statistics on the Linking Process14:43
Lessons Learned on Linking15:42
Using the Data: The Browse Application16:36
SemUI Visualization17:02
SemSpect (http://aac.semspect.de/) Thorsten Liebig (derivo) 17:34
Discussion18:32
Success?19:09