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Tuesday, October 8
 

10:30am EDT

LCCNbot: Creating connections between the Library of Congress Name Authority File (LCNAF) and Wikidata
Tuesday October 8, 2024 10:30am - 11:15am EDT
ZOOM PASSCODE IS: ld4-2024
In early 2024 Matt Miller, Steven Folsom, and Mary Campany deployed LCCNbot, a Wikidata bot that adds Library of Congress authority identifiers to Wikidata items. Since the bot began running it has made more than 10,000 edits and has facilitated the correction and de-duplication of many LCNAF records. This presentation will focus on the work of a team of volunteers who correct errors the bot identifies, their impact on both Wikidata and the Library of Congress authority file, and potential next steps for improving linked data connections between these systems and others that are used by the library linked data community.
Speakers
EP

Elizabeth Plantz

Cataloger, National Library of Medicine
avatar for Crystal Yragui

Crystal Yragui

Co-Interim Head, Metadata and Cataloging Initiatives Unit, University of Washington
MM

Mary Muratsubaki Campany

Authorities Metadata Librarian, Cornell University Library
avatar for Sasha Frizzell

Sasha Frizzell

Catalog/Metadata Management Librarian, Binghamton University
avatar for Kelly Davis

Kelly Davis

Cultural Heritage Data Engineer, Yale University
I'm the cultural heritage data engineer on Yale's LUX platform, a native LOD cross-collections discovery service. I came to Yale in the summer of 2022, after eight years working at the Getty Provenance Index, a program of the Getty Research Institute. My background is art history... Read More →
Tuesday October 8, 2024 10:30am - 11:15am EDT
Zoom

11:15am EDT

Tangible advancements in linked data: What we’ve achieved over the past year
Tuesday October 8, 2024 11:15am - 12:00pm EDT
ZOOM PASSCODE IS: ld4-2024
OCLC has worked closely with the library community to make significant advancements in linked data over the past year. This includes the improvement and enrichment of data; the development of linked data applications and services; enhancements to the infrastructure and technologies that support linked data; and growth in our knowledge and understanding of the future of library metadata.

Both libraries and OCLC have invested an increasing amount of time and resources in making these achievements possible. There is growing recognition that linked data—when built upon thoughtfully and collaboratively—can provide a means to solve a variety of library challenges.

In this session, we’ll dive into the tangible advancements in linked data OCLC has made over the past year that have afforded opportunities for libraries to participate in a linked data future, and how community engagement has informed and guided these advancements. We’ll articulate the widespread benefits of recent data enrichment initiatives; showcase new linked data applications as well as enhancements to existing metadata management tools; and share near-term goals that will continue driving the library community forward.

Regardless of where a library lies on its linked data journey, there is room to learn, experiment, practice, grow, and innovate together.
Speakers
avatar for Jeff Mixter

Jeff Mixter

Sr. Product Manager, OCLC
Jeff Mixter works as a Sr. Product Manager at OCLC and oversees Linked Data products and services.
Tuesday October 8, 2024 11:15am - 12:00pm EDT
Zoom

1:45pm EDT

Linked Data and Anthropological Archives: Learning from Motives Across Disciplines
Tuesday October 8, 2024 1:45pm - 2:30pm EDT
Anthropology is a multidisciplinary field relying on a rich and diverse base of evidence, including manuscripts, photographs, cultural belongings, physical specimens—and the data derived from all of these. As anthropologists and archives work to make anthropological evidence and data more broadly accessible and useful, the field seeks to draw inspiration from and connect to relevant collections and data infrastructures across many disciplines. While linked data has gained momentum in cultural heritage, we know less about how it is deployed in other fields that intersect with anthropology—particularly to represent primary sources, ranging from manuscripts to specimens, across the sciences and social sciences. In this lightning talk, we discuss the findings of a recent systematic review exploring the use of primary sources and linked data derived from them in the sciences and social sciences. We share what we’ve learned about the range of linked data projects across disciplines and the motives that drive them. We aim to engage our audience in dialog about new project leads, disciplinary differences, and other considerations that shape the future of linked data in anthropology.
Speakers
avatar for Katrina Fenlon

Katrina Fenlon

Assistant professor, University of Maryland College of Information
NW

Nikki Wise

PhD Student, University of Maryland
DM

Diana Marsh

University of Maryland College of Information
Tuesday October 8, 2024 1:45pm - 2:30pm EDT
Zoom

2:45pm EDT

The cataloger is always right: a user-centered approach for designing and building the linked data editor in FOLIO
Tuesday October 8, 2024 2:45pm - 3:30pm EDT
In 2025 - scheduled for the Sunflower release - FOLIO will launch a new linked data editor that will provide libraries with the ability to catalog and manage collections as linked data. The talk will focus on UX research conducted early on with catalogers and how learnings informed design decisions for the application. Moving cataloging operations away from MARC will require significant change management planning. Anticipating this, a key objective for the project was designing an environment that catalogers could intuitively “recognize” in order to facilitate adoption. The presentation will outline some of these challenges and conclude with a demo of the application.
Speakers
avatar for Gloria Gonzalez

Gloria Gonzalez

Senior Product Manager for Linked Data Innovation, EBSCO
I work on data graphs for public, academic, and government libraries at EBSCO. As Senior Product Manager for Linked Data, I help libraries create new ways for people to find what they have.My work with linked data started in 2011 with a visualization tool called Viewshare at the Library... Read More →
avatar for Douglas Loynes

Douglas Loynes

Product Owner, ESBCO Information Services
Joined EBSCO 2023, to head up project for adding support for linked data cataloging in FOLIO. Previously with OCLC, holding positions in product management and business development.Based in Columbus OH
Tuesday October 8, 2024 2:45pm - 3:30pm EDT
Zoom

3:30pm EDT

Dynamic Mapping using Collaborative Knowledge Graphs: A SPARQL Workflow for Real-Time SKOS Mapping from Wikidata
Tuesday October 8, 2024 3:30pm - 4:15pm EDT
This presentation introduces an advanced workflow for semantic data management, centered around SPARQL CONSTRUCT queries to map live data from Wikidata to SKOS (Simple Knowledge Organization System) concepts. As part of this workflow, we introduce CSV-2-RDF-Converter, a Python program that converts a CSV output from executed Wikidata queries into RDF triples, serialized in the .nt format. This tool enables the integration of structured tabular data into your organization's semantic web applications, linked data environments, and knowledge graphs. The presentation will highlight the efficiency and scalability of dynamically constructing RDF graphs from live data sources, emphasizing the benefits of real-time data retrieval, enhanced interoperability, and consistent data mapping. We will also discuss key considerations for optimizing query performance and end with a live demonstration of the workflow.
Speakers
avatar for Darnelle Melvin

Darnelle Melvin

Special Collections and Archives Metadata Librarian & Associate Professor, University of Nevada, Las Vegas
Darnelle Melvin is the Special Collections and Archives Metadata Librarian and an Associate Professor at the University of Nevada, Las Vegas, where he is the lead metadata and Semantic Web strategist responsible for managing metadata activities such as largescale remediation projects... Read More →
Tuesday October 8, 2024 3:30pm - 4:15pm EDT
Zoom
 
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