Linked Open Usable Data for Cultural Heritage · Chapter 1

1. Introduction

Since its inception in 2011, the IIIF has revolutionised^[1] the accessibility of image-based resources. Initially driven by the needs of manuscript scholars, IIIF focused on two-dimensional images, but has since expanded to encompass a wide range of image-based resources, including audiovisual materials and, in the near future, 3D images. Similarly, Linked Art, formally established in 2017, initially concentrated on art museum objects but has since broadened its scope to model a variety of CH entities, leveraging CIDOC-CRM, a renowned ontology in the museum and DH space. Both initiatives aim to break down silos: IIIF focuses on improving the presentation of digital objects, while both initiatives enhance their dissemination. Together, they make CH data more accessible through IIIF and more meaningful through Linked Art for machines. These efforts have primarily benefited the CH domain.

A key commonality is that the main APIs these communities create align with the LOUD design principles, either intentionally or empirically demonstrated through use cases. These principles enable software developers to develop compliant tools and services without needing to fully understand RDF, a syntax for representing information on the web. Additionally, they may not need to grasp all LOD principles, which promote the interlinking of data from diverse datasets using tools like KOS such as thesauri. WADM, a W3C standard, is also recognised as a LOUD specification. It provides a framework for creating interoperable annotations on web resources, facilitating the linking and sharing of data across different platforms and applications. These LOUD design principles include the right abstraction for the audience, few barriers to entry, comprehensibility by introspection, documentation with working examples, and the use of many consistent patterns rather than few exceptions. Additionally, both IIIF and Linked Art are driven by vibrant communities, mainly comprising GLAM and higher education institutions.

While the standards and principles discussed have broad applications, it is important to clarify the scope of this dissertation. This work does not focus on KGs by assessing triplestores – databases specifically designed to store and retrieve triples, which are the fundamental data structures in RDF. Similarly, it does not deal with evaluating SPARQL engines, which are specifically designed to query KGs. Additionally, this dissertation does not address the intersection of ML and IIIF, or the ontological reasoning of Linked Art.

Instead, this dissertation concentrates on LOUD, the consistency of its standards, design principles and the vibrant communities behind it. It examines JSON-LD serialisation efforts and the crucial intersection required to establish robust semantic interoperability baselines between presentation and semantic layers. It also presents real-world use case implementations, both on a small scale in a laboratory and flexible space within the PIA research project, and on a large scale at Yale, exemplified by the LUX platform that provides access to (meta)data from YUL, YCBA, YUAG, and YPM.

The focus is therefore on digital infrastructures capable of delivering JSON-LD files from the above specifications, which are primarily, though not exclusively, CH resources. It is more about the different actors – both human and non-human – that create and maintain these interconnected systems and the dynamic interactions that sustain them. The deployment of various LOUD specifications addresses the need for semantic interoperability between CH resources and disparate datasets by establishing a standardised approach to representing and linking data, ensuring that information can be seamlessly shared and understood across different platforms and contexts.

This dissertation seeks to carve out a distinct niche by addressing an often-overlooked aspect of IIIF and Linked Art. IIIF is sometimes perceived and studied merely as a service or an appendix, with the content it delivers taking precedence. However, this PhD thesis positions IIIF as a first-class citizen worthy of in-depth study. Similarly, Linked Art, despite its potential and its relatively recent establishment, has been the subject of very few scholarly papers. This gap underscores the significance of LOUD in this context. Furthermore, this thesis elevates Linked Art to a position of primary importance, recognising its significance and advocating for its thorough examination. To thoroughly study LOUD and its adherence to design principles, it is essential to immerse ourselves actively in both communities – an approach I have embraced for years. The thesis also emphasises the importance of participatory efforts and collaboration between research projects, which typically have shorter lifespans, and memory institutions, which need to implement technical standards as a lingua franca. In doing so, it reveals the mediating role of LOUD in advancing the heritage sphere. To truly understand IIIF, Linked Art, and to a lesser extent WADM, it is crucial to examine the social fabrics and consensus decision-making of each community. Among these considerations are how the specifications can be implemented pragmatically, and how the standards can support the implementation and maintenance of more extensive semantic interoperability efforts.

The significance of this research lies in highlighting the commitment and diligence of the individuals and organisations that make up both the IIIF and Linked Art communities. It aims to demonstrate that community-driven practices, such as those exemplified by IIIF and Linked Art, have a potential that goes beyond the mere sharing of digital objects and their associated metadata. The more people who embrace these approaches and implement the associated specifications, the more society as a whole will benefit. Furthermore, this research illustrates that IIIF is no longer limited to two-dimensional images, that Linked Art is not restricted to artworks, and that WADM is a simple, content-agnostic standard that can be easily integrated into a range of systems. This adaptability is a strength of LOUD standards, which are designed to be simple yet effective. LOUD can serve a variety of purposes, primarily rooted in CH, but with the potential to extend its benefits to other sectors. The true beauty of LOUD lies in its ability to foster networking opportunities and transparent socio-technical practices, demonstrating its value beyond mere technical implementation.

By emphasising these aspects, this dissertation highlights the wider impact of LOUD in promoting semantic interoperability and enhancing collaborative efforts within the heritage field and beyond. In addition, the implementation of standards through PIA underlines the potential for similar participatory or citizen science projects, while the LUX initiative serves as an illustrative example of robust infrastructure and cross-unit engagement. These examples demonstrate the practical applications and far-reaching implications of adopting LOUD standards in different contexts.

This dissertation is structured across ten chapters, each building upon the previous ones up to Chapter 5 to provide a comprehensive understanding of the research. These initial chapters lay the foundation of the study, establishing the context, theoretical framework, and methodological approaches. After this foundational section, Chapters 6, 7, and 8 present empirical studies that, while interconnected, can be read independently if desired. These chapters offer detailed insights into specific aspects of the research and can be appreciated on their own or as part of the broader narrative.

The thesis continues with Chapter 2, which extends this introduction by providing more information about the research setting, specifically PIA. Chapter 3 follows with an extensive literature review, offering a comprehensive overview of methods to interlink CH data. Next, Chapter 4 presents the theoretical framework, conceptualised as a toolbox and firmly rooted in ANT, guiding the analysis and discussion throughout the dissertation. Following this, Chapter 5 details the research scope and methodology, explaining the approaches and methods employed in the study.

Moving on to the empirical work, Chapter 6 sheds light on the social fabrics of IIIF and Linked Art, exploring the communities and practices that underpin these initiatives.Chapter 7 then examines the implementation of LOUD standards within PIA, highlighting the practical aspects and challenges encountered. This is followed by Chapter 8, which focuses on the LUX initiative at Yale, examining the underlying governance and interdepartmental ownership of the Yale Collections Discovery platform. The discussion of findings is presented in Chapter 9, where the results from the empirical chapters are synthesised and analysed in relation to the theoretical framework. Finally, Chapter 10 concludes the thesis, summarising the key insights and contributions of the research while outlining potential directions for future study.