Matches in ScholarlyData for { <https://w3id.org/scholarlydata/inproceedings/eswc2013/paper/in-use/158> ?p ?o. }
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- 158 creator craig-knoblock.
- 158 creator eleanor-fink.
- 158 creator fengyu-yang.
- 158 creator georgina-goodlander.
- 158 creator pedro-szekely.
- 158 creator rachel-allen.
- 158 creator xuming-zhu.
- 158 type InProceedings.
- 158 label "Connecting the Smithsonian American Art Museum to the Linked Data Cloud".
- 158 sameAs 158.
- 158 abstract "Museums around the world have built databases with metadata about millions of objects, their history, the people who created them, and the entities they represent. This data is stored in proprietary databases and is not readily available for use. Recently, museums embraced the Semantic Web as a means to make this data available to the world, but the experience so far shows that publishing museum data to the Linked Data cloud is difficult: the databases are large and complex, the information is richly structured and varies from museum to museum, and it is difficult to link the data to other datasets. This paper describes the lessons learned in publishing the data from the Smithsonian American Art Museum (SAAM). We highlight complexities of the database-to-RDF mapping process, discuss our experience linking the SAAM dataset to hub datasets such as DBpedia, and present our experience in allowing SAAM personnel to review the information to verify that it meets the high standards of the Smithsonian. Using our tools, we helped SAAM publish 5-star Linked Data of their complete holdings (41,000 objects, 8,000 artists), richly linked to DBpedia and the Getty Union List of Artist Names (ULAN), and verified to be of high quality.".
- 158 hasAuthorList authorList.
- 158 isPartOf proceedings.
- 158 keyword "Creating Linked Data".
- 158 keyword "Database mapping tools".
- 158 keyword "Digital Libraries and Cultural Heritage".
- 158 keyword "Linked Data".
- 158 title "Connecting the Smithsonian American Art Museum to the Linked Data Cloud".