Core Bibliographic Conceptual Models Interest Group

 View Only
last person joined: 15 days ago 

✉ Send an email to ALA-CoreBibliographicConceptualModels@ConnectedCommunity.org to start a discussion or share a file.

About this Group

👐 Anyone can view all content in the group, but only people who join it can post to it. Anyone can join to participate.


Purpose: Provides a dedicated forum for the discussion of conceptual models, such as IFLA-LRM and BIBFRAME 2.0, that serve as the basis for current cataloging standards or are expected to provide a foundation for future cataloging standards in a Linked Open Data environment. Topics of special interest include: theoretical foundations of bibliographical conceptual models; the implementation of bibliographical conceptual models in information systems (especially Linked Data-based systems); extensions of current conceptual models; ontologies and conceptual models used in GLAM institutions.

Related Groups:

This interest group is part of Core's Metadata and Collections Section.

Portraits of three Core members with caption Become a Member: Find Your Home: Core.

 

Recording available for Bibliographical Conceptual Models IG session on 7/26

  • 1.  Recording available for Bibliographical Conceptual Models IG session on 7/26

    Posted Aug 03, 2021 10:14 AM

    Dear all,

    The CORE Bibliographic Conceptual Models IG session recording is now available at https://ala-events.zoom.us/rec/share/Jp-ODC4sI4Rl66taxGUeppuV0MhUYDHcwCNz2FArfkfYXWymPhcD50cWvzSdHAkf.Ac_jaTttwP6IofYX

    This year's session featured a presentation by Jim Hahn, Head of Metadata Research at University of Pennsylvania Libraries, addressing the use of data mining techniques and clustering algorithms on a corpus of MARC21 records in order to identify properties for entity-based bibliographic description.

    Enjoy!
    Paloma Graciani Picardo



    ------------------------------
    Paloma Graciani Picardo
    Head of Printed and Published Media Cataloging
    Harry Ransom Center - University of Texas at Austin
    She/Her/Hers
    ------------------------------