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Library Linked Data in the Cloud: Oclc's Experiments with New Models of Resource Description (en Inglés)
Carol Jean Godby
(Autor)
·
Shenghui Wang
(Autor)
·
Jeffrey K. Mixter
(Autor)
·
Springer
· Tapa Blanda
Library Linked Data in the Cloud: Oclc's Experiments with New Models of Resource Description (en Inglés) - Godby, Carol Jean ; Wang, Shenghui ; Mixter, Jeffrey K.
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Origen: Reino Unido
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Reseña del libro "Library Linked Data in the Cloud: Oclc's Experiments with New Models of Resource Description (en Inglés)"
This book describes OCLC's contributions to the transformation of the Internet from a web of documents to a Web of Data. The new Web is a growing cloud' of interconnected resources that identify the things people want to know about when they approach the Internet with an information need. The linked data architecture has achieved critical mass just as it has become clear that library standards for resource description are nearing obsolescence. Working for the world's largest library cooperative, OCLC researchers have been active participants in the development of next-generation standards for library resource description. By engaging with an international community of library and Web standards experts, they have published some of the most widely used RDF datasets representing library collections and librarianship. This book focuses on the conceptual and technical challenges involved in publishing linked data derived from traditional library metadata. This transformation is a high priority because most searches for information start not in the library, nor even in a Web-accessible library catalog, but elsewhere on the Internet. Modeling data in a form that the broader Web understands will project the value of libraries into the Digital Information Age. The exposition is aimed at librarians, archivists, computer scientists, and other professionals interested in modeling bibliographic descriptions as linked data. It aims to achieve a balanced treatment of theory, technical detail, and practical application.
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