Core Linked Data Interest Group

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Purpose: Provides a forum for discussion of issues related to Linked Library Data and the role of library metadata in the Semantic web. Goals include: raising awareness of Semantic Web technologies, such as the Resource Description Framework (RDF) and the use of URIs as identifiers within bibliographic descriptions; promoting research on linked data challenges, such as domain modeling and vocabulary selection and design; and informing the ongoing development of existing metadata standards for Libraries, Archives and Cultural Heritage Institutions.

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This group is part of Core's Technology Section.

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ALA LDIG Panel Discussion: What's your Bibframe data look like? - Current State and Challenges of Bibframe Linked Data Interoperability

  • 1.  ALA LDIG Panel Discussion: What's your Bibframe data look like? - Current State and Challenges of Bibframe Linked Data Interoperability

    Posted Jan 13, 2023 01:44 PM
    Please join us next Thursday, 19 January 2023 at 1PM CST (2PM EST, 12PM MST, 11AM PST) for a Linked Data Interest Group session exploring the current state and challenges of Bibframe Linked Data interoperability.

    Sign up here:

    https://ala-events.zoom.us/meeting/register/tJElcOuprT8oGNwjaoUa6rNA5KxqPu3-G9an

    What's your Bibframe data look like?  - Current State and Challenges of Bibframe Linked Data Interoperability

    As Bibframe is adopted across the library industry, the topic of interoperability is one that must be addressed so that metadata continues to serve the purpose it as for decades in the MARC format. This webinar will showcase three guest speakers who will share their thoughts on various aspects of interoperability followed by time for questions and discussion. Nancy Lorimer of Stanford will share her deep understanding of cataloging workflows to describe how cataloging requirements and expectations in Bibframe relate to interoperability. Kirk Hess from OCLC will discuss the technical aspects of interoperability when working with RDF data compared to MARC record data. Finally, Jim Hahn from University of Pennsylvania will discuss his work with differing "flavors" of Bibframe data given that ShareVDE's Bibframe data is slightly different than the Library of Congress's Bibframe data.
    Kevin Ford
    Nicole Lewis
    Jeff Mixter
    Becky Skeen


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    Kevin Ford
    Library of Congress
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