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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Core Linked Data IG Session - March 6th, 1-2 pm CT

  • 1.  Core Linked Data IG Session - March 6th, 1-2 pm CT

    Posted Feb 12, 2024 04:02 PM

    The Linked Data Interest Group is pleased to host two presentations related to linked data during Core Interest Group week. The meeting will take place on Wednesday, March 6, 2024, from 1:00-2:00 pm Central Time. 

    The session is free to attend but registration is required. Register at https://ala-events.zoom.us/webinar/register/WN_XvlZr1rjSNSNVQQp4aOtBQ#/registration 

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    Democratizing SPARQL: WikiframeVG's Journey Towards Inclusive Linked Data Exploration

    In the realm of linked data, the challenge of mass adoption persists due to barriers hindering users from delving into technologies like SPARQL and limited visualization tools. Addressing these concerns, Wikiframe Visual Graph (WikiframeVG) emerges as a transformative solution, aiming to bridge the gap and empower individuals keen on visualizing Wikidata. In this talk the authors seek to spotlight WikiframeVG as an open-source initiative and catalyst for community-driven knowledge exploration. By fostering a community of practice around WikiframeVG, we aim to democratize linked data visualization, breaking down barriers to entry. Participants will gain insights into collaborative efforts, SPARQL template-based approaches, and the communal exploration of Wikidata's organized sprints and conclude with a demonstration of WikiframeVG in action.

    Presenters:  Darnelle Melvin, Cory Lampert, Andre Hulet, University of Nevada Las Vegas

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    Entity Metadata Management API: A Specification for Communicating Changes to Entity Descriptions

    The Entity Metadata Management API (EMM API) is an effort with the LD4 community to define a specification for communicating changes to linked data entity datasets so that data consumers are aware of new, updated, and deprecated entities as the dataset evolves over time. Understanding these types of changes is critical for a number of use cases including local caching of labels and caching of full datasets. The specification builds on the widely adopted W3C ActivityStreams specification with usage patterns appropriate for entity datasets. This presentation will provide an overview of the use cases and specification. We will also share examples of early implementations (including the Library of Congress, e.g. id.loc.gov subjects), demonstrating the specification is ready for adoption.

    Presenters: Steven Folsom, Simeon Warner, Cornell University



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    Nicole Lewis
    Metadata Standards Librarian
    Brigham Young University
    She/Her/Hers
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