Create accountLogin

Recent searches

No recent searches

Search options

Only available when logged in.
mstdn.social is one of the many independent Mastodon servers you can use to participate in the fediverse.
A general-purpose Mastodon server with a 500 character limit. All languages are welcome.

Administered by:

Server stats:

14K
active users

mstdn.social: AboutStatusProfiles directoryPrivacy policy

Mastodon: AboutGet the appKeyboard shortcutsView source codev4.3.8

#linkedart

0 posts0 participants0 posts today
Public
Julien A. Raemy

My PhD thesis "Linked Open Usable Data for Cultural Heritage: Perspectives on Community Practices and Semantic Interoperability" is now (finally) available in HTML format: phd.julsraemy.ch/thesis.html (not perfect I reckon)

The PDF was published in December 2024 on the University of Basel's repository: doi.org/10.5451/unibas-ep96807.

@IIIF
#LinkedData #LOUD #CulturalHeritage #DigitalHumanities #IIIF #LinkedArt #GLAM

phd.julsraemy.chLinked Open Usable Data for Cultural Heritage: Perspectives on Community Practices and Semantic InteroperabilityDigital technologies have fundamentally transformed how Cultural Heritage (CH) collections are accessed and engaged with. Linked Open Usable Data (LOUD) specifications, including the International Image Interoperability Framework (IIIF) Presentation API 3.0, Linked Art, and the Web Annotation Data Model (WADM), have emerged as web standards to facilitate the description and dissemination of these valuable resources. Despite the widespread adoption of IIIF, implementing LOUD specifications, particularly in combination, remains challenging. This is especially evident in the development and assessment of infrastructures, or sites of assemblage, that support these standards. This research is guided by two perspectives: community practices and semantic interoperability. The first perspective assesses how organizations, individuals, and apparatuses engage with and contribute to the consensus-making processes surrounding LOUD. By examining these practices, the social fabrics of the LOUD ecosystem can be better understood. The second perspective focuses on making data meaningful to machines in a standardized, interoperable manner that promotes the exchange of well-formed information. This research is grounded in the SNSF-funded project, *Participatory Knowledge Practices in Analogue and Digital Image Archives* (PIA) (2021–2025), which aims to develop a citizen science platform for three photographic collections from the Cultural Anthropology Switzerland (CAS) archives. Actor-Network Theory (ANT) forms the theoretical foundation, aiming to describe the collaborative structures of the LOUD ecosystem and emphasize the role of non-human actors. Beyond its implementation within the PIA project, this research includes an analysis of the social dynamics within the IIIF and Linked Art communities and an investigation of Yale's Collections Discovery platform, LUX. The research identifies socio-technical requirements for developing specifications aligned with LOUD principles. It also examines how the implementation of LOUD standards in PIA highlights their potential benefits and limitations in facilitating data reuse and broader participation. Additionally, it explores Yale University's large-scale deployment of LOUD standards, emphasizing the importance of ensuring consistency between Linked Art and IIIF resources within the LUX platform for the CH domain. The core methodology of this thesis is an actor- and practice-centered inquiry, focusing on a detailed examination of specific cosmologies within LOUD-driven communities, PIA, and LUX. This micro-perspective approach provides rich empirical evidence to unravel the intricate web of cultural processes and constellations in these contexts. Key empirical findings indicate that LOUD enhances the discoverability and integration of data in CH, requiring community-driven consensus on model interoperability. However, significant challenges include engaging marginalized groups, sustaining long-term participation, and balancing technological and social factors. Strategic use of technology and the capture of digital materiality are critical, but LOUD also poses challenges related to resource investment, data consistency, and the broader implementation of complex patterns. LOUD should lead efforts to improve the accessibility and usability of CH data. The community-driven methodologies of IIIF and Linked Art inherently foster collaboration and transparency, making these standards essential tools in evolving data management practices. Even for institutions and projects that do not adopt these specifications, the socio-technical practices of LOUD offer vital insights into effective digital stewardship and strategies for community engagement.
Replied to Julien A. Raemy
Public
Frederik Elwert

@julsraemy @azaroth42 I’m really happy to see #LinkedArt 1.0 released. It’s a good reminder to look at it again more closely. To be honest, in the past I’ve been pretty overwhelmed by its “reverse classification“ approach to basic properties. I still can’t wrap my head around how to integrate the pattern "X classified_as Y classified_as Prop" into my workflow instead of the more familiar "X Prop Y". I guess I’ll have to look at a few more usage examples.

Public
Julien A. Raemy

Today marks a major milestone for cultural heritage: Linked Art 1.0 is officially released! 🎉

linked.art/about/1.0/

This specification (data model and API) provides museums, libraries, and archives with a standardised way to share and connect their collections data, built on standards.

Proud to see major institutions already adopting Linked Art (Yale, Rijksmuseum, Getty, National Gallery of Art) which makes cultural heritage data more discoverable, accessible, and connected.

#LinkedArt #GLAM #CulturalHeritage #Museums #DigitalHumanities #SemanticWeb #KnowledgeGraphs #LinkedData #LOUD

@azaroth42

linked.artLinked Art 1.0 Released - Linked ArtLinked Open Usable Data for Cultural Heritage
Public
Julien A. Raemy

I am thrilled to share that I successfully defended my PhD, Linked Open Usable Data for Cultural Heritage: Perspectives on Community Practices and Semantic Interoperability, at the University of Basel yesterday! 🎉 The presentation is available here: julsraemy.ch/prezi/loud4ch-doc.

In the coming months, the dissertation will be openly accessible both as a PDF in the university library's repository and on a dedicated website in HTML: phd.julsraemy.ch.

A big thank you to everyone who supported me along this journey, especially my supervisors Peter Fornaro, Walter Leimgruber, and @azaroth42

Linked Open Usable Data for Cultural Heritage - Doctoral Examination
julsraemy.chLinked Open Usable Data for Cultural Heritage - Doctoral ExaminationPresentation given in the context of the doctoral examination on 18 November 2024 at the University of Basel
#IIIF#LinkedArt#CulturalHeritage
Public
Julien A. Raemy

The book chapter I wrote with @azaroth42 has been published: doi.org/10.1007/978-3-031-5767

It examines the potential of interoperability and standardised data for cultural heritage resources.

Highlights:
- Advances by the International Image Interoperability Framework (IIIF) for image-based resources.
- The role of Linked Art in facilitating the integration and sharing of semantic cultural heritage data.
- A practical case study with LUX, the Yale Collections Discovery platform, showcasing linked data at scale.

#iiif #linkedart #loud #linkeddata #culturalheritage #YaleLUX

The pre-print version (95% identical I would say) is available at doi.org/10.48550/arXiv.2309.16

Public
Julien A. Raemy

A new #introduction

Hello there, Julien here.

Since Tuesday, I now work as a Data Scientist at the Swiss Federal Archives and in parallel I'm still - one day per week - working for DaSCH, Swiss National Data & Service Center for the Humanities as an Interoperability Specialist. In both of these endeavours, I advocate for implementing and re-using community-driven specifications and compliant software: #IIIF, #LinkedArt.

Moreover, I'm keeping up the work on my doctoral thesis on Linked Open Usable Data for Cultural Heritage - which I hope to submit by the end of August and defend in November. #loud #culturalheritage

Front entrance (left-hand side) of the Swiss Federal Archives in Bern, Switzerland. We can see a couple of trees.
Public *
Julien A. Raemy

Aujourd'hui, je vais faire une présentation sur le Linked Open Usable Data (LOUD) dans le cadre de la conférence internationale sur les humanités numériques (CIHN24) qui se déroule à la Haute école de gestion de Genève.

Je parle un peu de ce que je fais dans ma thèse de doctorat, des standards provenant des communautés #IIIF et #LinkedArt et pourquoi la collaboration transversale des communautés #LOUD est importante pour les institutions du patrimoine culturel.

Présentation en français :
julsraemy.ch/prezi/cihn24-loud

Même présentation en anglais :
julsraemy.ch/prezi/cihn24-loud

Version avec DOI (Zenodo) : zenodo.org/doi/10.5281/zenodo.

julsraemy.chLOUD – Catalyseur de ConvergenceL'émergence du Linked Open Usable Data (LOUD) – littéralement « données ouvertes liées et utilisables » – représente un tournant dans la convergence des sciences de l'information et des humanités numériques. Ce concept innovant cherche à équilibrer la complétude et la précision des données avec leur accessibilité et utilité pour un public étendu. Historiquement, la connexion des données du patrimoine culturel a été entravée par des obstacles techniques et conceptuels. Les initiatives préexistantes se concentraient sur la rigueur ontologique, souvent au détriment de l'accessibilité et de l'usabilité des données pour les non-experts. Les projets Linked Open Data (LOD) étaient essentiellement axés sur la publication et la consommation de données pour un public d'experts en RDF (Resource Description Framework). L'introduction de JSON-LD en 2014 a réduit les barrières à l'entrée pour les développeurs, permettant une interprétation des données RDF en format JSON standard plus accessible. LOUD se distingue par ses principes de conception bien définis et ses spécifications basées sur JSON-LD. Il inclut des standards communautaires tels que l'API Présentation 3.0 de l'International Image Interoperability Framework (IIIF) et Linked Art ainsi que le Web Annotation Data Model du World Wide Web Consortium (W3C), orientant vers une meilleure accessibilité et interopérabilité des données. Ces principes couvrent a) la bonne abstraction en fonction du public, b) peu d'obstacles à l'entrée, c) compréhensibilité par introspection, d) documentation avec des exemples concrets, e) minimisation des exceptions et promotion de modèles cohérents. Les standards adhérants aux principes LOUD, en synergie, accroissent l'interopérabilité sémantique, même si cela peut impacter la pureté ontologique. Cette approche pragmatique facilite une meilleure utilisation et intégration des données du patrimoine culturel. LOUD peut également servir de fondements communs pour les institutions patrimoniales et les projets de recherche, offrant un cadre harmonisé pour la gestion des données culturelles. Malgré les défis d'adoption à grande échelle, l'exemple de Yale avec sa plateforme LUX, qui a été publiée officiellement en mai 2023, montre comment l'intégration des spécifications LOUD, notamment IIIF et Linked Art, peut améliorer l'interopérabilité et enrichir les données culturelles. LUX représente une application exemplaire des standards LOUD car la plateforme intègre les collections variées de l'université, incluant le Yale Center for British Art, la Yale University Art Gallery, le Yale Peabody Museum et la Yale University Library, totalisant quelque 41 millions de ressources. Cette intégration englobe des domaines tels que l'art, l'histoire naturelle, les catalogues de la bibliothèque et les données archivistiques. LUX se distingue par son architecture systémique comprenant la récolte et la réconciliation de données par le biais d'une chaîne de traitement automatique. Sa force réside dans sa capacité à intégrer des sources de données externes, offrant ainsi une richesse de perspectives et un enrichissement des données accessibles aux utilisateurs.LOUD émerge comme un catalyseur clé pour les sciences de l'information et les humanités numériques, équilibrant complétude, précision et accessibilité des données. L'approche illustrée par Yale démontre l'impact de LOUD dans l'amélioration de l'accès et de la valorisation des données du patrimoine culturel, marquant une avancée significative dans le domaine.
#lodlam#LUX#culturalheritage
Continued thread
Public
Harald Klinke

Sicher wäre es auch interessant, sich mit linked.art auseinanderzusetzen, statt alles neu zu erfinden:
“Linked Art is a Community working together to create a shared Model based on Linked Open Data to describe Art. We then implement that model in Software and use it to provide valuable content. It is under active development and we welcome additional partners and collaborators.“
#LinkedArt #LinkedOpenData

linked.artHome
Public
Julien A. Raemy

Happy to share that our #dhnb2023 paper is now available. Many thanks to @dhnb and the University of Oslo Library for publishing the conference proceedings in this new Diamond OA journal.

Have a look at journals.uio.no/dhnbpub/articl if you want to know more about the PIA research project. #iiif #loud #linkedart #participatorydesign

journals.uio.no Community and Interoperability at the Core of Sustaining Image Archives | Digital Humanities in the Nordic and Baltic Countries Publications
Public
Open Art Data

After an extremely interesting conversation about #LinkedArt #ontology in #Amsterdam, I'm going to see how it can be used it to explore the Miedl Nazi art looting and smuggling #network.

Zoom on one of the names in the Miedl network: Hoogendijk.

Which museum provenances contain a mention of the name?

Is it the same name as the person investigated? Or someone else?

How to link the provenances to the name to the history to the context?

GIF
#mastart#museum#provenance
Public *
Julien A. Raemy

It is "papers' season"! With @azaroth42, we published a preprint, currently under peer review for potential inclusion in the book "Decoding Cultural Heritage: a critical dissection and taxonomy of human creativity through digital tools".

It's called "Analysis of the Usability of Automatically Enriched Cultural Heritage Data" and we talk about the potential of interoperability and standardised data publication for cultural heritage resources, namely focusing (you guess it) on #IIIF, #LinkedArt, #LOUD and LUX, Yale Collections Discovery platform.

#culturalheritage #digitalhumanities #YaleLUX

doi.org/10.48550/arXiv.2309.16

arXiv.orgAnalysis of the Usability of Automatically Enriched Cultural Heritage DataThis 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.
Public
Julien A. Raemy

Very pleased that our research paper has just been published on ACM Journal on Computing and Cultural Heritage (JOCCH).

This contribution is part of the Special Issue on “Applying Innovative Technologies to Digitised and Born-Digital Archives” which is made possible through the AEOLIAN (Artificial Intelligence for Cultural Organisations) Network.

In our paper, we reflect on some of the preliminary findings of the PIA research project around annotations of photographic archives from the Swiss Society for Folklore Studies as knowledge practices, the underlying technological decisions, and their impact.

This was a truly interdisciplinary effort as we were one PhD Candidate in Cultural Anthropology (Murielle Cornut), one PhD Candidate in Computer Science (Florian Spiess), and myself.

#iiif #loud #lodlam #machinelearning #culturalheritage #LinkedArt

dl.acm.org/doi/10.1145/3625301

Journal on Computing and Cultural Heritage Annotations as Knowledge Practices in Image Archives: Application of Linked Open Usable Data and Machine Learning | Journal on Computing and Cultural Heritage We reflect on some of the preliminary findings of the Participatory Knowledge Practices in Analogue and Digital Image Archives (PIA) research project around annotations of photographic archives from the Swiss Society for Folklore Studies (SSFS) as ...
Continued thread
Public
Julien A. Raemy

And here is the link to the presentation that I gave at the #STSCH Conference:

julsraemy.ch/prezi/sts-ch-2023

#iiif #loud #linkedart

Ping and mention to these people that help me bridge #digitalhumanities #linkedopendata and #STS:

1) Guillem, Anaïs & Gros, Antoine, & Deluca, Livio through this article: hal.science/hal-04106101

2) Hacıgüzeller, Piraye & Taylor, James Stuart & Perry, Sara for this work: doi.org/10.1515/opar-2020-0220

3) @lozross and Di Franco, Karen for this: artic.edu/digital-publications

julsraemy.chSituating Interlinked Cultural Heritage Data on the WebThis presentation focuses on situating data produced by humans and nonhumans engaged in the cultural heritage field and published on the Web in line with the Open Science and Citizen Science movements. It aims to map the associations among various communities of practice, particularly within libraries, archives and museums, and the precarious balance between exhaustiveness and a rigid structure of data description versus the potential for multiplying assertions, bypassing cataloguing rules and their underlying postcolonial constructs. The openness and interconnection of data makes it possible to examine the form of description as well as the method of publication, and inevitably to analyse the biases linked to the associated vocabularies, For instance, the Web, which has claimed to be a Semantic Web for several years now, has a centrepiece known as Resource Description Framework (RDF), a general method for describing and exchanging graph data and a Web standard since 2004. The Semantic Web offers major opportunities for the Humanities because it allows data to be reasoned together, to be understood by machines via RDF-based ontologies, a formal way to represent human-like knowledge. Developing infrastructures, or sites of assemblage, capable of creating and maintaining RDF statements and other related technologies or building on this standard to interconnect online records is not straightforward and requires a fair amount of socio-technical elements to be implemented. As a demonstration, I will look at the practices of two community-driven initiatives, mainly active in the cultural heritage field, through an Actor-Network Theory (ANT) lens, namely the International Image Interoperability Framework (IIIF) and Linked Art, which have developed shared specifications and related services on agreed-upon design principles.
Public
Julien A. Raemy

Ce matin, j'ai eu le plaisir de donner une présentation au Musée d'ethnographie de Genève pour la journée #libreabc et de présenter un peu les communautés #IIIF et #LinkedArt julsraemy.ch/prezi/libreabc202

julsraemy.chCréer des API ouvertes - les pratiques et le tissu social des communautés IIIF et Linked ArtCette présentation a été réalisée dans le cadre de la journée LibreABC qui s'est déroulée le 31 août 2023 au Musée d'ethnographie de Genève. La création et la maintenance d’interfaces de programmation applicative (API - application programming interface) ouvertes et partagées est une pratique courante dans le développement de logiciels et de technologies de l'information. Les communautés IIIF (International Image Interoperability Framework Consortium) et Linked Art — composés principalement d'individus travaillant dans des bibliothèques, archives, musées et universités — sont des exemples de communautés qui ont adopté cette pratique avec succès. Cela favorise la collaboration et le développement de logiciels compatibles, tout en encourageant la transparence et l'ouverture. Les membres de ces communautés s'engagent à assurer la qualité et l'interopérabilité de leurs API en se basant sur des cas pratiques communs et sur des standards web ouverts. Les API des communautés IIIF et Linked Art présentent un potentiel énorme pour les utilisateur·rice·x·s, qu'iels soient universitaires ou membres du grand public. Grâce à ces API, les utilisateur·rice·x·s peuvent facilement accéder à des collections patrimoniales numériques, ce qui ouvre de nouvelles opportunités pour la recherche, l'éducation et la créativité. En fin de compte, les API ouvertes contribuent à la création d'un écosystème numérique collaboratif et dynamique, qui peut bénéficier à la société dans son ensemble.
ExploreLive feeds
About