The Binders Volumes Research Initiative, funded by a 2023-2025 grant from the National Endowment for the Humanities, is a pilot project to advance preservation, access, and description of music binder’s volumes. These volumes appeared particularly in the mid-1800s, as compilations of selected sheet music in a way similar to mixtapes compiled about a century and a half later. As products of industrializing societies in the Age of Steam, one might call them “steampunk” mixtapes. The volumes preserve rare works while also capturing the social musical activity of their compilers, and the collections' characteristics as compound works containing notated music bring particular needs and opportunities for description above and beyond current cataloging and metadata practices. The affordances of Linked Data (particularly via SNAC and Wikidata) to further connect this multidimensional “collection of collections” are prominent features in this project, with the aim of maximizing discoverability and uncovering new insights into geographical connections and social and personal networks among musicians, publishers, and compilers. This presentation demonstrates the site in progress for the project, seeking user feedback while hopefully providing a precedent for similar projects in the future.
Music Special Collections Librarian, University of North Texas Music Library
Maristella Feustle is the Music Special Collections Librarian at the University of North Texas, and has been the chair of MLA's Archives and Special Collections Committee from 2019-2023. She also serves on the Society of American Archivists' Technical Subcommittee on Describing Archives... Read More →
The Semantic Lab at Pratt has a long and ongoing engagement with cultural heritage linked open data, beginning with the Linked Jazz project in 2011. This session will cover Semantic Lab’s evolving approach to generating linked open data from archival documents and how the adoption of Wikibase and the development of a custom-built annotation platform have significantly enhanced our capabilities. They allow the capture of more knowledge and the management of diverse projects simultaneously, expanding a simple set of social network triples into complex knowledge graphs. These affordances, however, expose a need for new, more intentional lines of cross-project collaborative work, as ontological inconsistencies between projects are revealed. In this session, we will provide examples of how Wikibase’s built-in functionality facilitates our efforts to renegotiate semantics and restructure classes in order to unify a range of digital humanities projects like E.A.T. (Experiments in Art and Technology) and the International Sweethearts of Rhythm, as well remediate incongruences resulting from the migration of legacy data into a more complex model. We will also discuss how a broader community of researchers, data practitioners, and cultural institutions impacts our work through their interest in, contribution to, and use of our data.
Description Logic provides a formal language for knowledge representation. It is the theoretical base for ontology authoring languages like OWL. They do this by expressing relationships between concepts and individuals in a given domain in a way that can be analyzed by people and algorithms alike. In this talk, I will explain how to read the most commonly used symbols in Description Logic one at a time and then introduce larger expressions. I will go over the core ideas of Description Logic and walk through examples of their usage, including an explanation of a very simple Description Logic called the Attributive Language. After going over Attributive Language, I will cover how extensions to this language add expressivity at the cost of complexity. Finally, I will briefly explain how some of the basics of Description Logic map to OWL to RDF.
Alex draws on their background in Computer Science, Information Science, Library Science, and work in Free and Open Source Software to help increase the inclusiveness, accessibility, and usage of linked open data by working on both documentation and tooling.
Friday October 11, 2024 10:45am - 11:45am EDT
Zoom
This project is aims to increase the visibility and recognition of Hausa peoples on wiki Linkin Data. We tackle challenges like their lack of visibility and the digital divide they face. Our strategy involves creating Wikipedia pages, collaborating with the community to gather accurate information, and promoting digital literacy by providing resources to enhance their digital skills and participation on Hausa Wikipedia.
The lack of literature on integrating Linked Open Data (LOD) within Nigerian university libraries for a transformative opportunity, information accessibility, and interoperability in the digital age, within Nigerian university education is the study import. This paper intends to use the descriptive survey to explore the strategic pathways for building robust University libraries via the library professionals’ perspectives on LOD, focusing on Nigerian universities' unique context and challenges in the digital age. The collaboration and community building, status, and critical components, with a call for partnerships between academic libraries, research institutions, and other stakeholders in the country will be identified. The paper will investigate the technical infrastructure available in selected university libraries for LOD implementation, including tools, platforms, and integration with existing systems. It will examine the significance of data quality, open data policies, and ethical considerations in publishing and curating LOD. Furthermore, the paper will study strategies for user engagement, sustainability, and long-term planning, for the roadmap to continuous evolution of LOD in Nigerian university libraries. It should conclude with recommendations for fostering a vibrant LOD community that enhances the discoverability and usability of scholarly resources, ultimately contributing to the advancement of education and research in Nigeria
The PCC Sinopia Cataloging Affinity Group presents a roundtable discussion on different uses and implementations of Sinopia across the spectrum of library linked data workflows. We will discuss testing, pilot, and production workflows and the challenges and opportunities that present themselves. Joanna Fuchs (Brandeis University), PCC Sinopia Cataloging Affinity Group co-convener, will moderate a discussion between TJ Kao (University of California, Davis), Margarita Perez Martinez (University of Miami Law), Kalli Mathios and Jeremy Nelson (Stanford University), Joe Cera and Michael Lindsay (University of California, Berkeley Law), and Jim Hahn (University of Pennsylvania).
Blue Core, a collaboration that envisions a shared linked data environment to bring BIBFRAME cataloging to production, was introduced as the natural evolution of the Mellon Foundation-funded Linked Data for Production (LD4P) projects. In this presentation, we will discuss efforts to shift from established local copying and editing workflows to truly shared, collaborative linked data cataloging and community-based practices that can be scaled across production environments, with open data at its core. We will share our progress, and present the opportunities and challenges uncovered during the planning phases of work between 2023 and 2024. We will also present recent developments, ongoing questions, and look to the community for feedback.
The Alma ILS supports both MARC and BIBFRAME data formats and includes a RESTful API for their customers to use in creating and editing BIBFRAME Work and BIBFRAME Instance data in Alma. Building on prior API driven integrations (https://youtu.be/Q0-ABLG4dyQ ) of linked data editors and the Alma ILS, this presentation will explore the opportunities of connecting BIBFRAME data in Alma to entity management software from the Share Family LOD Platform technology.
The JCricket entity editor is a manual entity editor from the Share Family designed to facilitate the management, editing and creation of entities for bibliographic and authority data. Within their discovery system, the Penn Libraries is planning on displaying work clusters that are retrieved from the Share LOD Platform APIs (https://upenn.box.com/s/k4fxbnez5zuelpk3xohp0q9xq0uqw16x ). Therefore, there is a need for catalogers to have the ability to curate or otherwise align data from the Alma ILS with LOD Platform clusters. A related tie-in that will be explored in this presentation is the ability for new BIBFRAME resources that are stored in the Alma system at Penn to be immediately reflected in the clustering available from LOD Platform APIs.
Assessing data quality of Linked Open Data in Cultural Heritage institutions
Dişli, Meltem & Candela, Gustavo
Cultural Heritage (CH) institutions have been exploring new ways to make their digital collections available. New initiatives have emerged to promote computational access and reuse in innovative ways in which high-quality data is essential. This session will present a reproducible approach to assessing data quality in Linked Open Data (LOD) repositories made available by CH institutions. The session includes an overview of the importance of assessing LOD quality, followed by a concise introduction to the data quality criteria, which are based on a literature review, the existing vocabularies used to describe data quality, and how Jupyter Notebook can be used to assess LOD repositories in a reproducible manner. The primary aim of this session is to facilitate best practices and guidelines in order to assess the data quality of LOD repositories, ensuring their broader adoption and reproducibility.
The application of Linked Data in libraries is not new. Libraries have started to take advantage of Linked Data for increased visibility and availability of their resources on the Web. For libraries, adopting linked data principles initiates a transformation moving bibliographic data away from library-specific MARC format to new web-based formats. While Linked Data is considered the necessary next step to make library resources more robust and easier to access, the reality of full Linked Data adoption is still far from ideal even with its promising benefits. Most empirical literature on Linked Data for libraries offers a landscape view of the rationale for Linked Data adoption and how to publish library bibliographic data as Linked Data. The majority of Linked Data initiatives occur in North America and Europe. Research on the library use of Linked Data in Asia, particularly in Taiwan, is limited. This study looks at the current state of Linked Data implementation among Taiwan academic libraries. An investigation is conducted to understand library professionals’ perceptions of Linked Data and their attitudes toward engaging in Linked Data implementation. In addition, by utilizing the Unified Theory of Acceptance and Use of Technology (UTAUT) framework, this study is also to identify what factors influence library professionals’ intention to use Linked Data technologies in transforming library bibliographic data into Linked Data to connect library resources with many other resources on the Web.