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    Metadata
      • GET 10% OFF

      • The discount is only available for 'Alert of Favourite Topics' newsletter recipients.
      • Publisher's listprice GBP 69.95
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        35 401 Ft (33 715 Ft + 5% VAT)
      • Discount 10% (cc. 3 540 Ft off)
      • Discounted price 31 861 Ft (30 344 Ft + 5% VAT)

    35 401 Ft

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    Availability

    Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
    Not in stock at Prospero.

    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Product details:

    • Edition number Third edition
    • Publisher Facet Publishing
    • Date of Publication 4 March 2022

    • ISBN 9781783305889
    • Binding Paperback
    • No. of pages640 pages
    • Size 254x178 mm
    • Language English
    • 401

    Categories

    Short description:

    The third edition of this landmark textbook has been thoroughly updated
    to incorporate the many developments and changes in metadata and related
    domains. Authors Marcia Lei Zeng and Jian Qin provide a solid grounding in the
    variety and interrelationships among different metadata types, offering a
    comprehensive look at the metadata schemas that exist in the world of library
    and information science and beyond. 

    More

    Long description:

    The third edition of this landmark textbook has been thoroughly updated
    to incorporate the many developments and changes in metadata and related
    domains. Authors Marcia Lei Zeng and Jian Qin provide a solid grounding in the
    variety and interrelationships among different metadata types, offering a
    comprehensive look at the metadata schemas that exist in the world of library
    and information science and beyond. Readers will gain knowledge and an
    understanding of key topics such as:




    • 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.



    The third edition of this landmark textbook has been thoroughly updated
    to incorporate the many developments and changes in metadata and related
    domains. Authors Marcia Lei Zeng and Jian Qin provide a solid grounding in the
    variety and interrelationships among different metadata types, offering a
    comprehensive look at the metadata schemas that exist in the world of library
    and information science and beyond. Readers will gain knowledge and an
    understanding of key topics such as:




    • 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.




    More