Library Linked Data in the Cloud
Carol Jean Godby, Shenghui Wang & Jeffrey K. Mixter
Library Linked Data in the Cloud
Carol Jean Godby, Shenghui Wang & Jeffrey K. Mixter
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Omschrijving
This book describes OCLC's contributions to the transformation of the Internet from a web of documents to a Web of Data. 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.
Carol Jean Godby is a Senior Research Scientist at OCLC, where she has directed projects with a focus on automated content analysis that produce research prototypes, open source software, improvements to national and international standards, and enhancements to OCLC’s products, services, and data architecture. She has a Ph.D. in linguistics from Ohio State University. Her work on mapping library standards for bibliographic description is widely known to librarians and publishers. Since 2012, she has been a leader of a cross-division team at OCLC whose charter is to develop a next-generation data architecture based on the principles of linked data. Shenghui Wang is a Research Scientist at the OCLC EMEA office in Leiden, The Netherlands. Her current research activities include text and data mining as well as Linked Data investigations. She received a Ph.D. in Computer Science from the University of Manchester in 2007. Shenghui has been conducting research in the broad field of Artificial Intelligence with interests in cognitive modeling, knowledge representation and reasoning, natural language semantics, and machine learning. Before joining OCLC Research in 2012, Shenghui was a researcher at the Free University of Amsterdam and Wageningen University, exploring Semantic Web and language technologies to improve the semantic interoperability in the domain of cultural heritage and agrifood research.
Carol Jean Godby is a Senior Research Scientist at OCLC, where she has directed projects with a focus on automated content analysis that produce research prototypes, open source software, improvements to national and international standards, and enhancements to OCLC’s products, services, and data architecture. She has a Ph.D. in linguistics from Ohio State University. Her work on mapping library standards for bibliographic description is widely known to librarians and publishers. Since 2012, she has been a leader of a cross-division team at OCLC whose charter is to develop a next-generation data architecture based on the principles of linked data. Shenghui Wang is a Research Scientist at the OCLC EMEA office in Leiden, The Netherlands. Her current research activities include text and data mining as well as Linked Data investigations. She received a Ph.D. in Computer Science from the University of Manchester in 2007. Shenghui has been conducting research in the broad field of Artificial Intelligence with interests in cognitive modeling, knowledge representation and reasoning, natural language semantics, and machine learning. Before joining OCLC Research in 2012, Shenghui was a researcher at the Free University of Amsterdam and Wageningen University, exploring Semantic Web and language technologies to improve the semantic interoperability in the domain of cultural heritage and agrifood research.