Metadata
Facet Publishing (Verlag)
978-1-78330-588-9 (ISBN)
metadata building blocks, from modeling to defining properties, from designing application profiles to implementing value vocabularies, and from specification generating to schema encoding, illustrated with new examples
best practices for metadata as linked data, the new functionality brought by implementing the linked data principles, and the importance of knowledge organization systems
resource metadata services, quality measurement, and interoperability approaches
research data management concepts like the FAIR principles, metadata publishing on the web and the recommendations by the W3C in 2017, related Open Science metadata standards such as Data Catalog Vocabulary (DCAT) version 2, and metadata-enabled reproducibility and replicability of research data
standards used in libraries, archives, museums, and other information institutions, plus existing metadata standards’ new versions, such as the EAD 3, LIDO 1.1, MODS 3.7, DC Terms 2020 release coordinating its ISO 15396-2:2019, and Schema.org’s update in responding to the pandemic
newer, trending forces that are impacting the metadata domain, including entity management, semantic enrichment for the existing metadata, mashup culture such as enhanced Wikimedia contents, knowledge graphs and related processes, semantic annotations and analysis for unstructured data, and supporting digital humanities (DH) through smart data.
Featuring new developments driven by semantic technologies and digital data and information, with an accompanying website and supplementary learning materials, this remains the definitive primer on metadata for students, instructors, faculty, and professionals at all levels of experience.
MARCIA LEI ZENG is Professor of Information Science at Kent State University in Kent, Ohio, USA. Her primary research interests include KOS, Linked Data, metadata, smart data and big data, database quality control, semantic technologies, and digital humanities. Dr. Zeng holds a PhD from the School of Computing and Information at the University of Pittsburgh. JIAN QIN is Professor at the School of Information Studies, Syracuse University. The areas of her research interest include metadata, knowledge and data modeling, scientific communication, research collaboration networks, and research data management. Dr. Qin holds a Master of Science in Library and Information Science from Western University and a PhD from University of Illinois at Urbana-Champaign.
Metadata
| Erscheinungsdatum | 14.01.2022 |
|---|---|
| Verlagsort | London |
| Sprache | englisch |
| Maße | 178 x 254 mm |
| Themenwelt | Mathematik / Informatik ► Informatik |
| Sozialwissenschaften ► Kommunikation / Medien ► Buchhandel / Bibliothekswesen | |
| ISBN-10 | 1-78330-588-6 / 1783305886 |
| ISBN-13 | 978-1-78330-588-9 / 9781783305889 |
| Zustand | Neuware |
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