图 书 馆
将史密森尼美国艺术博物馆与关联数据云连接起来Connecting the Smithsonian American Art Museum to the Linked Data Cloud |
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| 课程网址: | http://videolectures.net/eswc2013_szekely_smithsonian_art/ |
| 主讲教师: | Pedro Szekely |
| 开课单位: | 南加州大学 |
| 开课时间: | 2013-07-08 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Museums around the world have built databases with meta-data 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 dicult: the databases are large and complex, the information is richly structured and varies from museum to museum, and it is dicult to link the data to other datasets. This paper describes the process and 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 the Getty Vocabularies, 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 high-quality linked data of their complete holdings (41,000 objects and 8,000 artists). |
| 关 键 词: | 博物馆; 数据库; 语义网 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-04-14：lxf |
| 阅读次数: | 86 |