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Analysis of the Usability of Automatically Enriched Cultural Heritage Data

Julien Antoine Raemy, Robert Sanderson

TL;DR

This chapter investigates how automatically enriched cultural heritage data can be made usable and interoperable across institutions. It argues for LOUD design principles built around JSON-LD to align developer usability with semantic interoperability, showing how IIIF and Linked Art complement each other. A concrete demonstration is LUX, Yale's discovery platform, which harvests, reconciles, and enriches records from multiple sources to enable large-scale linked data discovery. The work highlights community engagement, open standards, and practical data pipelines as key drivers of scalable data enrichment in GLAM, with implications for broader adoption.

Abstract

This chapter presents the potential of interoperability and standardised data publication for cultural heritage resources, with a focus on community-driven approaches and web standards for usability. The Linked Open Usable Data (LOUD) design principles, which rely on JSON-LD as lingua franca, serve as the foundation. We begin by exploring the significant advances made by the International Image Interoperability Framework (IIIF) in promoting interoperability for image-based resources. The principles and practices of IIIF have paved the way for Linked Art, which expands the use of linked data by demonstrating how it can easily facilitate the integration and sharing of semantic cultural heritage data across portals and institutions. To provide a practical demonstration of the concepts discussed, the chapter highlights the implementation of LUX, the Yale Collections Discovery platform. LUX serves as a compelling case study for the use of linked data at scale, demonstrating the real-world application of automated enrichment in the cultural heritage domain. Rooted in empirical study, the analysis presented in this chapter delves into the broader context of community practices and semantic interoperability. By examining the collaborative efforts and integration of diverse cultural heritage resources, the research sheds light on the potential benefits and challenges associated with LOUD.

Analysis of the Usability of Automatically Enriched Cultural Heritage Data

TL;DR

This chapter investigates how automatically enriched cultural heritage data can be made usable and interoperable across institutions. It argues for LOUD design principles built around JSON-LD to align developer usability with semantic interoperability, showing how IIIF and Linked Art complement each other. A concrete demonstration is LUX, Yale's discovery platform, which harvests, reconciles, and enriches records from multiple sources to enable large-scale linked data discovery. The work highlights community engagement, open standards, and practical data pipelines as key drivers of scalable data enrichment in GLAM, with implications for broader adoption.

Abstract

This chapter presents the potential of interoperability and standardised data publication for cultural heritage resources, with a focus on community-driven approaches and web standards for usability. The Linked Open Usable Data (LOUD) design principles, which rely on JSON-LD as lingua franca, serve as the foundation. We begin by exploring the significant advances made by the International Image Interoperability Framework (IIIF) in promoting interoperability for image-based resources. The principles and practices of IIIF have paved the way for Linked Art, which expands the use of linked data by demonstrating how it can easily facilitate the integration and sharing of semantic cultural heritage data across portals and institutions. To provide a practical demonstration of the concepts discussed, the chapter highlights the implementation of LUX, the Yale Collections Discovery platform. LUX serves as a compelling case study for the use of linked data at scale, demonstrating the real-world application of automated enrichment in the cultural heritage domain. Rooted in empirical study, the analysis presented in this chapter delves into the broader context of community practices and semantic interoperability. By examining the collaborative efforts and integration of diverse cultural heritage resources, the research sheds light on the potential benefits and challenges associated with LOUD.
Paper Structure (18 sections, 6 figures)

This paper contains 18 sections, 6 figures.

Table of Contents

  1. Introduction
  2. Data Usability
  3. JSON-LD
  4. LOUD Design Principles
  5. Adherence of the IIIF Presentation API 3.0 to the LOUD Design Principles
  6. IIIF Design Principles
  7. The Success and Adoption of IIIF
  8. Linked Art
  9. Conceptual Model
  10. API Design Principles and Requirements
  11. Adoption of Linked Art
  12. LUX: Yale Collections Discovery
  13. Developing a LOUD-driven discovery platform
  14. Automatically Enriched Cultural Heritage Data
  15. Discussion
  16. ...and 3 more sections

Figures (6)

  • Figure 1: Dort or Dordrecht: The Dort Packet-Boat from Rotterdam Becalmed by Joseph Mallord William Turner as a IIIF Presentation API 3.0 resource displayed in the Universal Viewer, a IIIF-compliant client. Link to the IIIF Manifest (JSON-LD): https://manifests.collections.yale.edu/v2/ycba/obj/34.
  • Figure 2: Linked Art from 50,000 feet Raemy-LinkedArtWorkflowSanderson-ImportanceOfLOUD.
  • Figure 3: LUX Homepage
  • Figure 4: Joseph Mallord William Turner, 1775-1851. The portrait image of Turner is hosted on Wikimedia Commons.
  • Figure 5: Yale and External Data Sources that have been used for the record about Joseph Mallord William Turner, 1775-1851. Linked Art representation of this record (JSON-LD): https://lux.collections.yale.edu/data/person/f778f2f8-6b04-44af-8bef-cbfb8eccdc6f.
  • ...and 1 more figures