Dataspace | Daniel Antal

Udmurt Historical Photographs Collection

Tue, 31 Mar 2026 14:00:00 +0000

The Udmurt Historical Photographs Collection is a growing, open, and linked collection of dispersed historical photographs of Udmurt people and places in Udmurtia. We bring together relevant photographs (or their digital surrogates) and aim to place them under the care of the Udmurt community and researchers of Udmurt cultural history.

Our goal is to identify relevant photographs and provenance information in Estonian, Finnish, Hungarian, and other collections, and to validate, enrich, or repair this knowledge with the contribution of Udmurt communities.

Read more about how we started to reach out to the community.

For example, the reverse side of one photograph contains a difficult-to-decipher location (“Gombur-Gurt” and “Medemuka”) written in phonetic German transliteration. The image, labeled simply as “Udmurt woman,” belongs to a series in the photographic collection of the Estonian National Museum, where provenance is limited and some elements were removed in the 1950s by Soviet censorship.

Can we identify who this woman was? Where the series was taken? Who the photographer was? And can we locate missing images from the same series in other collections?

Filter: Udmurt Historical Photographs Collection

Answering these questions requires knowledge of the Udmurt language and historical cartography. Solving such cases can clarify the provenance of individual photographs and help recover dispersed or lost materials. Our collaborative work with Wikimedia Hungary and Udmurt communities demonstrates how this process can be carried out.

Federating Open Knowledge through Wikibase: The Case of The Finno-Ugric Data Sharing Space

Thu, 05 Feb 2026 00:00:00 +0000

This paper presents the design and early implementation of the Finno-Ugric Data Sharing Space (DSS), a multilingual, community-driven prototype for linking cultural heritage data across institutional and geographic boundaries. Rather than a finished infrastructure, the DSS should be read as a blueprint and exploratory model—developed as a thought experiment with minimal resources but grounded in our prior work on music metadata governance involving both public and private actors. We use this experimental setting to review structural problems in existing Finno-Ugric knowledge systems: the negative outcomes of Wikipedia’s Livonian and Mari initiatives, the dispersion of diasporic knowledge, and the limitations of national GLAM infrastructures. Building on empirical literature and our own governance practice, we propose a lightweight federated infrastructure built on Wikibase and open ontologies, which enables multilingual vocabularies, contextual annotation, and ethical data linking without flattening local epistemologies. Case studies of Seto textile collections and the Hõimulõimed multilingual song archive illustrate how the prototype supports cultural reconstruction and participatory enrichment. While not an institutional solution, the DSS demonstrates how a semantically rich, community-anchored model can serve as a testbed for broader applications in low-scale cultural ecosystems.

Open Access Music Dataspaces – Open Music Observatory

Thu, 20 Nov 2025 11:00:00 +0100

Panel topics
How does music shape the social and cultural fabric of Europe? What can patterns of music consumption reveal about policies, inclusion, and everyday life? Music is not only a mirror of culture, but also a living indicator of how communities evolve and interact. Today, the growing availability of music-related data opens new perspectives to understand the social value of music and its potential to build fairer and more sustainable ecosystems. When used responsibly, data can help policymakers, researchers, and professionals identify gaps, measure impact, and support better decision-making. By turning open data into collective knowledge, projects like OpenMusE aim to bring more transparency, visibility, and fairness to Europe’s music landscape, bridging analysis, policy, and creativity. Can data really become a common good for music? And how can openness drive the next phase of Europe’s cultural development?

The presentation introduces the Open Music Observatory (OMO), a federated, open-data infrastructure designed to repair long-standing metadata gaps in Europe’s music ecosystem. Building on the vision set by the feasibility study for the European Music Observatory, we show how fragmented, hidden, restricted, and unharmonised data can be aligned through shared standards and collaborative curation. Using Slovakia as a pilot case, we demonstrate how public and private stakeholders can jointly improve the visibility of national repertoire, reduce metadata errors that cause lost royalties, and strengthen cultural diversity in streaming and discovery systems.

We will present the OMO federation model, its Slovak deployment (SK Music Dataspace), and the ways institutions and developers can interact with the system: manual curation via Wikibase interfaces, automated ingestion through APIs, and compliant AI access through the Model Context Protocol. The talk highlights how interoperable data supports fairer recommendation systems, better attribution, improved royalty flows, and new research possibilities—illustrating how open, ethical data infrastructures can help smaller repertoires thrive in a globalised digital marketplace.

Wikibase as a Data Sharing Space: Connecting Rights, Communities, and GLAM through Federated Infrastructures

Fri, 31 Oct 2025 18:00:00 +0000

In our use scenario, Wikibase Suite provides a federated data-sharing space between Wikimedia projects, Europeana, and other trusted partners.

From the perspective of Wikidata and Wikimedia Commons, it serves as a staging area and alternative incubator for datasets that are still under review, have mixed rights status, or originate from specialised community archives.

Key Ideas

Federation: connects open and restricted databases while preserving provenance.
Rights management: allows data to be public domain, under Creative Commons, or shared via local “use policies” such as non-commercial only.
Knowledge stewardship: supports community-led peer review for small or specialist domains that fall outside general Wikimedia governance.

Examples

The Finno-Ugric Data Sharing Space integrates recordings, images, and linguistic data for Livonian, Võro, Seto, and Mari communities.
The hudobnadatabaza.sk aims to provide access to all music ever made in Slovakia, weather in print sheets loanable in libraries, webshops in CD or sheet format, or song streaming on Spotify.
The Wikimuseum exhibition model allows GLAM institutions and citizen scientists to co-curate collections without physically moving artefacts.

Simple cultural objects, like photographs can be licensed with simple, standardised license statements, music, video recordings of events may have a bundle of rights that need more careful modelling. There is a lot more than CC-BY-SA to opening up open culture for wide audiences.

Next Steps

Align our Wikibase Ontology with the Wikidata:WikiProject Ontology/Cleaning Task Force to provide better mapping of cultural objects, permissions, duties and rights related to their use.
Improve our exchange mechanism with Wikidata and Wikimedia Commons.
Design better quality checks for the data.

Livestream recording

You can watch the presentation here:

Brace for Impact: Trustworthy AI for Good

Thu, 30 Oct 2025 14:15:00 +0000

At ImpactFest 2025, Reprex joined the expert session “Brace for Impact: Trustworthy AI for Good.”
The discussion explored how knowledge graphs and open, interoperable data can empower AI and data-driven applications that serve both public good and private innovation.
This continues our long-term collaboration with ImpactFest, where Reprex won the Audience Prize in 2022.

Key Idea

Data is only as powerful as it is trustworthy. Reprex promotes the use of knowledge graphs to connect open and proprietary data in transparent, reproducible ways that benefit both business and society.

Next Steps

Develop responsible AI applications built on shared, standards-based data.
Expand partnerships with European innovators in open and trustworthy data ecosystems.

WikiMuseum = GLAM Wiki + Wikibase + Data Sharing Space

Sun, 28 Sep 2025 14:00:00 +0200

14:30–15:00 Our presentation took place in the session
GLAM Cooperation and Community Exhibitions at Wikimedia CEE Meeting 2025 in Thessaloniki.

We invite Wikimedia communities, data curators, AI specialists, GLAM partners, and digital humanists to join us in building a multilingual, interoperable Wikimuseum and extending the Finno-Ugric Data Sharing Space.
👉 Read more about this data sharing space

Our talk introduced the Wikimuseum concept: collaborative, multilingual exhibitions that bring together museum objects, archival documents, photographs, and private collections into Wikimedia-powered virtual showcases. As a case study, we presented the Livonian garment exhibition, where dispersed artefacts from Finland, Estonia, and Latvia were digitally reunited for the first time in a century.

We also showed how this approach interlinks with the Finno-Ugric Data Sharing Space (FUDSS), a demonstration of a rather complex system built around open knowledge graphs and a showcase of a particularly challenging data governance and curation use case involving FAIR and SAFE standards, different jurisdictions, rarely used languages.

Our federated Wikibase-driven dataspace designed for small, endangered, or diasporic heritage communities. The DSS applies the European Interoperability Framework to cultural data, connecting CIDOC-CRM museum records, DCTERMS library metadata, and Wikibase lexemes, while respecting local epistemologies and multilingual vocabularies.

Highlights

How joint Wikimedia exhibitions allow GLAM institutions and citizen scientists to co-curate without moving artefacts physically.
How multilingual Wikibase lexemes and semantic interoperability support endangered languages like Livonian, Võro, and Mari.
How a Wikibase Suite and Lexeme can provide for an alternative incubator for small communities with modern AI support.

The Wikimuseum Livonian clothing exhibition demo: Traditional Livonian Clothing

Next steps

Extend the Livonian and Seto exhibitions with more garments, and photographs.
Extend our music collections and publish ethnomusicologically relevant datasets.
Align the Wikimuseum model with the ECCCH Heritage Digital Twin Ontology.

Livestream recording

You can watch our presentation here, with two of us slightly pale with the virus that went around in the conference rooms:

Workshop on Metadata Sharing for Small Labels, Libraries, and Collectors

Fri, 12 Sep 2025 15:00:00 +0200

Join us on 12 September 2025 at the House of Hungarian Music, Budapest for a hands-on workshop on how small labels, music libraries, and private collectors can connect their catalogues and archives to the new Open Music Europe / OpenMusE data sharing space.

We will show how the Slovak and Hungarian music data spaces — federated through the Open Music Observatory — make it easier to:

Share and repair metadata across archives, libraries, labels, and streaming platforms
Use identifiers (ISRC, ISWC, VIAF, etc.) to improve visibility and royalty distribution
Manage voluntary deposits and digital surrogates for private collections
Connect local catalogues to international platforms like Spotify, YouTube, Wikidata, MusicBrainz

Who should attend?

Independent and small labels seeking better visibility in digital distribution
Music libraries and archives aiming for cross-platform metadata integration
Private collectors interested in digitising and sharing their holdings responsibly

Why attend?

Learn how open-source tools like Wikibase make metadata sharing affordable and sustainable
Discover how services such as Unlabel help bring hidden catalogues into global circulation
Network with peers from Hungary, Slovakia, and beyond who face similar challenges

The event language is Hungarian, with support available in English. Further reading: A szlovák adatkicserélési tér magyarországi föderációjának lehetőségei; Federating the Slovak Music Dataspace: Replication in Hungary

Practical details

📅 Date: Friday, 12 September 2025
📍 Location: House of Hungarian Music, Városliget, Budapest
🕑 Time: 10:00–16:00 (followed by informal networking)

Participation is free, but registration is required as places are limited. The language of the event is Hungarian. We appreciate if you write on the registration form a few sentences about what you collect, what type of collections you manage, and what is your primary interest.

👉 Register here (link to be added)

TextileBase: Introduction

Thu, 10 Jul 2025 15:00:00 +0200

The July 10 is a hybrid event that you can attend either in person or online. Please register via the contact form or via email. For those who cannot visit this event, we offer an alternative online webinar. (Please fill out your availability here). The start time is 15.00 Central European Summer Time, 14.00 GMT and 16.00 EET. If you physically attend, please arrive a few minutes early.

We warmly invite colleagues, friends, and stakeholders interested in cultural heritage data, digital humanities, and AI-supported research to a light and lively summer seminar on three interconnected initiatives.

Our main focus is on TextileBase – our linked open data platform for dress history
We show a glimpse of our futuristic multi-modal, multi-language graph with data, images, music, audiovisual Finno-Ugric Data Sharing Space, as a way to connect clothing history into a broader regional knowledge platform.
And the Wikimuseum concept for wider impact, co-curated collections and exhibitions.

This informal gathering is not about theoretical publications (although we’re happy to send you preprints!). It’s about showcasing how things actually work, especially when archival depth is shallow and data quality is mixed. There’s a big difference between writing about data integration in a computer lab — and actually building tools that work for researchers and cultural institutions across languages, countries, and platforms.

Topics For Discussion

Each speaker will present a short, live demo or walkthrough (10–12 minutes), followed by Q&A and a casual hybrid meet-up.

Daniel Antal: What is TextileBase? Connecting knowledge across museums, archives, libraries, repositories, Europeana, ECCCH, Wikidata.

Anna Márta Mester: Technical, but not Deep Dive: Using the Wikibase Suite, SPARQL endpoints, and Sampo-UI for comfortable scholarly research.

Ieva Pigozne: Use Case: From years to weeks — how Latgalian data curation paved the way for rapid digitisation of Seto and Livonian datasets. Sneak peek: Finno-Ugric clothing.

Kata Gábor: AI for Cultural Heritage: From multilingual NLP to image annotation and ontology enrichment in noisy or sparse data environments.

Asmah Federico: WikiMuseum: A vision for co-curated, multilingual virtual exhibitions with dispersed physical collections.

Wikibase Interfaces

Entry examples from Linked Open Datasets on Garments from the Latgale Region, from right to left: Q142, Q180, Q179, Q181.

In machine-readable format: https://reprexbase.eu/textilebase/Special:EntityData/Q180.ttl

SPARQL Endpoint

We will place here a few sampe querries:

Latgalian Garments Dataset

Sampo UI

We are going to unveil a similar interactive website on the webinar to the OperaSampo; TextileBase will run on Sampo, following dozens of successful digital humanities projects.

Interoperability of Music Libraries and Archives with Public and Private Music Services

Mon, 07 Jul 2025 16:00:00 +0200

16:00–17:30 Our presentation takes place in the session of Music Libraries of Tomorrow: Reaching out to Wider Audiences at the Mozarteum University E.001 HS Thomas Bernhard room.

We want invite IAML members—national libraries, regional centres, municipal collections, and independent music librarians—to join us in building a federated, decentralised European Music Observatory. 👉 Help Us Build a Truly Inclusive European Music Observatory (invitation blogpost)

Our presentation at IAML 2025 introduces the Slovak Comprehensive Music Database (SKCMDb), a national pilot within Open Music Europe. It offers a pragmatic, scalable solution to a widespread challenge: aligning metadata from libraries, archives, rights organisations, and digital distributors without centralisation or heavy infrastructure.

Built on the European Interoperability Framework, SKCMDb creates a legal, semantic, and organisational bridge between institutions like the Slovak Music Centre, SOZA, and public libraries, while also integrating with global platforms like Wikidata and MusicBrainz. We show how library records, music rights data, and streaming metadata can be reused and enriched across systems—supporting discoverability, legal compliance (like local content quotas), and better access to Slovak music.

This presentation will be especially valuable for professionals working in metadata curation, authority control, and digital service design, and those seeking low-cost, high-impact pathways to public-private interoperability in cultural heritage.

Please visit our poster and talk with our team members, Daniel Antal, Anna Márta Mester (librarian-data steward) and Anna Zilkova (chairperson of IAML Slovakia) on 8 July 2025 10:30–11:00 in the Gallery. You can download our poster in PDF here.

Check out the entry examples related to Albrecht’s: Missa in C (printed, Hudobné centrum) with library and webshop access points, and linked data on the composition itself Q479, linked to its recorded manifestations.

Next steps

The Slovak pilot illustrates how libraries and national music centres can take a central role in a decentralised European Music Observatory that federates with the EU Open Data Portal, Europeana, ECCCH, DARIAH, and Zenodo. This poster accompanies a companion contribution on the Finno-Ugric Data Sharing Space, including the LīvMDb (Livonian Music Database), which explores how smaller regional repertoires can be embedded in broader, multimodal cultural graphs—advancing the vision of a European Music Observatory as a complement to the European Cultural Heritage Cloud.

TextileBase

Sun, 11 May 2025 15:05:10 +0100

TextileBase is a platform to collect, connect, and share knowledge about historical clothing.
It links artefacts, photographs, secondary sources, and institutional records into a multilingual, interoperable, and searchable knowledge graph.

By bringing together scattered records from museums, archives, researchers, and businesses, TextileBase enables richer stories about how people dressed, lived, and expressed themselves.

Why Textiles?

Unlike stone or metal, textiles are fragile. Few garments survive beyond a century. What we know often comes from dispersed museum pieces, old photographs, or drawings — often in different languages and formats.

TextileBase connects these fragments into one network: a living map of dress history.

Who is TextileBase for?

Museums & archives — link dispersed collections into larger platforms such as Europeana and ECCCH.
Researchers & cultural heritage projects — manage data to FAIR/8-star standards, publish reusable datasets, data papers, and visualisations.
Businesses — from sustainable fashion to cultural tourism, TextileBase supports digital product passports, provenance tracking, and heritage storytelling.

Connect artefacts, images, and texts into one collaborative, AI-supported research space.

👉 Build on shared knowledge: Technical details & offering

TextileBase is not only about preserving the past — it’s about making data usable now, for research, heritage, and innovation.

Examples from the Database

Connecting dispersed artefacts: 19th-century Latgalian garments in one linked dataset (Q142, Q180, Q179, Q181).

Connecting Artefacts Across Borders

Understanding Secondary Sources

Enriching records with secondary sources: trousers identified from a 1913 Seto photograph (Q331).

Following Shifting Place Names

Tracing shifting place names: a Livonian skirt recorded under Finnish, German, Livonian, and Latvian toponyms (Q347).

Building a Wikimuseum for Dispersed Collections

Inspired by Wikimedia Estonia’s multi-language, open-access model, we propose a virtual museum—a Wikimuseum—that brings together:

Artefacts from rural museums (e.g., Mõniste, Saatse, Värska)
Items in national museums (Estonia, Finland, Hungary)
Private collections that would never be physically exhibited together

Building a Wikimuseum: connecting dispersed collections across languages, borders, and institutions. See early prototype: Seto Traditional Clothing.

👉🏿 Preview Presentation The Concept of a WikiMuseum: WikiMuseum = GLAM Wiki + Wikibase + Data Sharing Space press F for full-screen view (to be presented at WikimediaCEE 2025 in Thessaloniki.)

Next Steps

👉🏻 Visit the TextileBase website

👉🏾 Subscribe (PDF)

👉🏼 Get in touch

Finno-Ugric Data Sharing Space

Thu, 06 Mar 2025 10:30:00 +0200

We started experimenting with the legal, organisational, semantic and technical challenges of creating a genuinely trustworthy, AI-supported data-sharing space that can find and connect tangible and intangible elements of the Finno-Ugric cultural universes. We were also seeking a better governance model for oversight for the custodians of these endangered, shrinking universes in their language and with little technical knowledge, partly as alternatives to the established Wikipedia to the open knowledge incubation method for small linguistic minorities.

Meet up with some of our team members, Daniel Antal, Britt-Kathleen Mere, Ieva Pigoze, Bogáta Tímár, and Ieva Vīvere during the conference, and do not forget to check out our presentation at the LP05 Session, Digital Insights in Cultural Research, on Mar 6, 2025 10:30 AM — 11:00 AM, or meet up with Kata Gábor and Dániel Antal in Paris, Anna Mester and Mihály Nagy in Budapest in subsequent workshops.

Read more or take a look at our conference poster below:

Download the poster in pdf

See our presentation made in the DNBH 2025 conference in Tartu:

What are the competencies of the system that we are building?

Please check out the demo version of the Finno-Ugric Dataspace or read the long-form project description.

Finno-Ugric Data Sharing Space

Fri, 28 Feb 2025 17:40:00 +0100

The Finno-Ugric Data Sharing Space is a research-driven data sharing space for reconnecting fragmented cultural heritage across languages, institutions, and countries. Developed with minimal resources as a curatorial and technical experiment, it combines semantic web technologies with participatory methods to make underrepresented Finno-Ugric cultures visible and reusable in contemporary digital infrastructures.

Rather than building a new repository, the project demonstrates how multilingual metadata, community-driven annotation, and lightweight governance models can enable cultural reconstruction and long-term interoperability in low-scale heritage ecosystems.

SKCMDb Presentation on IAMIC 2024

Thu, 21 Nov 2024 10:30:00 +0100

Today, most music is recommended by algorithms—not only to subscribers of platforms like YouTube and Spotify, but also to radio editors, concert promoters, and festival organisers. This shift has led to the conclusion that collective management organisations (CMOs) and music information centres (MICs) must modernise their metadata and publishing practices to remain visible and competitive in the digital age.

Using advanced data enrichment techniques, our platform helps ensure that these institutions have the most accurate, 360° view of the repertoire they represent. We also ensure that digital streaming services and search engines are updated with precise, reliable, and machine-readable musical metadata.

See our presentation made in the IAMIC 2024 conference in Vienna:

Our goal is to ensure that MICs and CMOs maintain the most up-to-date information about musical works. Whenever data is missing or outdated, we retrieve it from authoritative sources and deliver it automatically into their systems—ready for review by human curators.

We aim to make all music in Slovakia visible across global music discovery platforms, encyclopaedias, Europeana, and the European Cultural Heritage Cloud. This includes helping users locate sheet music for sale or loan, as well as showing where each piece can be heard—whether via streaming, radio, or public archives.

To achieve this, we provide:

We want to ensure that a MICs and CMOs have the most accurate information about music. Whenever data is missing or new information has yet to reach their database, we try to look up the data from reliable sources and ensure that it arrives automatically in their system (to be reviewed by a knowledgeable human curator).
Make all music in Slovakia visible on all global music systems, encyclopaedia, Europeana and the European Cultural Heritage Cloud. Enable people to locate sheets of works for sale or public lending and show where people can listen to the music in various formats.
Provide the information in a dual format: enable a MIC to provide machine-readable, standardised, RDF annotated data to directly support the recommender systems of Spotify, YouTube, Deezer and other platforms.
Provide CMOs with a framework to make their members more visible to digital streaming platforms by enrichment, control and processing of available metadata and to also inform radio stations about the potential recordings that count into their local content, thus promoting local CMO members.

Read more or take a look at our conference poster below:

Download the poster in pdf

The Finno-Ugric Data Sharing Space

Tue, 19 Nov 2024 17:16:00 +0100

For a better readability, you can acces this document in HTML, PDF, and EPUB here.

Motivation and Background
Prototype for PPP Knowledge Incubation Into the Wikimedia Ecosystem
- Competency Questions: All Layers of the European Interoperability Framework Applied
- Competency Questions: Involving Wikipedians and the Wikimedia Ecosystem
Policy Alignment and Ethical Governance
References

Motivation and Background

Please check out the demo version of the Finno-Ugric Dataspace or read the long-form project description.

The Finno-Ugric Data Sharing Space builds on a previous initiative that unified all known music ever recorded or produced in Slovakia (Ministerstvo kultúry SR and Open Music Europe 2023), in collaboration with a Wikipedian-in-residence. Although Slovak music represents a relatively compact cultural domain, the relevant data was dispersed across numerous public and private institutions—each with its own metadata conventions, languages, and access protocols. This earlier effort showed that even within a narrowly defined area, knowledge integration is complex and labour-intensive—but can deliver substantial impact when institutional silos are bridged and practices aligned.

We now extend this approach into a far more fragile and urgent context: the cultural and linguistic ecosystems of endangered Finno-Ugric communities. Here, we are not simply harmonising open datasets—we are engaging with disappearing cultural universes. These are communities, such as the Livonians or Mari, where the number of fluent speakers and active custodians may be in the dozens. In many cases, the knowledge at risk has never been systematically documented, or exists only in languages and formats that are inaccessible to the communities themselves.

This dual challenge—of endangered knowledge and endangered language—calls for more than technical aggregation. Our platform must support both language-independent conceptualisation (structured metadata, RDF, linked open data) and language-bound revitalisation (cultural narratives expressed in community languages such as Livonian or Seto). A single cultural object—a song, a garment, a photograph—must exist both as semantically linked data and as a living narrative, grounded in linguistic and cultural specificity.

Although our focus is on Finno-Ugric communities, the underlying model is widely applicable. Many domains—such as interwar Slovak modernism or regional Sámi ethnographies—can be described as high-friction knowledge spaces: editorially underdeveloped, institutionally fragmented, and costly to document.

The Finno-Ugric Data Sharing Space provides a blueprint for addressing these challenges. It is a staging environment, interoperable with Wikimedia platforms, where underrepresented communities can collaboratively curate, annotate, and translate their cultural knowledge—on their own terms—prior to integration into the global commons.

Our project idea began to take shape during the Wikimedia CEE 2024 Meeting, where we discussed with Finnish, Estonian, and Hungarian Wikipedians how to strengthen the participation of Finno-Ugric minority communities in Wikimedia projects.

Our project idea began to take shape during the Wikimedia CEE 2024 Meeting, where we explored with Finnish, Estonian, and Hungarian Wikipedians how to better support participation from minority communities within the Finno-Ugric language group in Wikimedia projects after presenting our data sharing space solution powered by the Wikibase Suite.

While Wikipedia plays a central role in global knowledge-sharing, it is governed by general-purpose policies—such as notability criteria—that can unintentionally marginalise the perspectives, individuals, and artefacts of smaller communities. The narrower and more culturally specific the universe, the more likely it is that meaningful people, events, or objects will fall below notability thresholds, despite their deep significance in local contexts.

To address this, our platform introduces a curatorial layer, currently named WikiGLAM, that enables the creation of virtual exhibitions and contextual collection pages. These pages are not designed to replace Wikipedia articles, but to complement them—providing a format where cultural specificity and community storytelling can thrive, even when individual entries do not meet notability requirements.

For example, while Wikipedia may not support a standalone article for every Seto singer, a digital exhibition titled “The Seto Singing Tradition” could present ten singers, each with images, audio recordings, and biographical context—linked through Wikidata and hosted via Wikimedia Commons. This curatorial model rebalances representation for cultural minorities without compromising Wikipedia’s editorial standards.

Our unfunded project was presented both as a conference paper and a poster at the Digital Dreams and Practices conference (Digital Humanities in the Nordic & Baltic Countries, 2025). A peer-reviewed publication based on this work will be available later this year. You can download the poster in pdf format.

Prototype for PPP Knowledge Incubation Into the Wikimedia Ecosystem

Competency Questions: All Layers of the European Interoperability Framework Applied

To guide the design and implementation of the Finno-Ugric Data Sharing Space, we define the following key competencies the platform must address:

Q1: Define the Scope of the Cultural Universe

The platform is not intended to replicate a general-purpose encyclopedia. For communities like the Liv, with only a few hundred remaining speakers, the informational needs center on the preservation of their specific cultural world: geographic features bearing Liv names, remaining Liv-speaking villages and buildings, garments, oral traditions, folk songs, and the vocabulary needed to describe these in the Liv language. Our system must support the creation and structuring of a domain-specific encyclopedic resource, rooted in the cultural priorities of the communities it serves.

The Finno-Ugric Dataspace should support domain-specific encyclopedic content generation that reflects the cultural worldview and linguistic nuance of the Livonian community, rather than defaulting to general-purpose geographic knowledge as seen in standard Wikipedias. This content becomes the foundation of a Livonian-language encyclopedic resource—complementary to but distinct from global projects.

Q1: generate structured entries

Can the system generate structured entries and multilingual encyclopedic descriptions of culturally significant Livonian geographical locations, using the Livonian Place Name Catalogue as a source, and provide historical variants in Latvian, Russian, and German where available?

From the Livonian Place Name Catalogue, the place Irē (Livonian) / Mazirbe (Latvian) is one of the most significant locations in Livonian cultural memory. The system should be able to: - Represent the Livonian name (Irē), along with Latvian (Mazirbe), and historical Russian and German variants (Мазирбе, Maserwieken). - Link the place to its role in Livonian history and cultural revival (e.g., site of the Livonian House of the People). - Include geographical coordinates and administrative details. - Enable users to generate a short encyclopedia-style page or entry in Livonian, describing Irē’s cultural and linguistic relevance. - Link to associated artefacts, songs, photos, or oral histories from this location.

Q2: Bridge Institutional and Linguistic Silos

Knowledge about stateless or minoritized communities—such as the Seto, Mari, or Liv—is distributed across public and private collections in countries with different national languages (Latvian, Estonian, Finnish, Hungarian, Russian, German). These collections are managed under varied knowledge organization models typical to GLAM institutions. Our platform must support cross-lingual and cross-institutional discovery, enabling users to locate and contextualize Seto or Liv heritage materials scattered across multiple metadata regimes and languages.

The goal of the Finno-Ugric Data Sharing Space is to act as a cross-lingual, cross-domain discovery layer, allowing communities and researchers to access cultural heritage materials scattered across institutions and described in different vocabularies and languages. This enables community members, even without formal archival or linguistic training, to meaningfully engage with their heritage.

Q2 Can the system enable a user—regardless of their language proficiency—to discover and access bibliographic records, archival descriptions, and museum artefacts?

Can the system enable a user—regardless of their language proficiency—to discover and access bibliographic records, archival descriptions, and museum artefacts related to traditional Seto clothing from the 19th and 20th centuries, even when those records are stored in different institutions and described in Estonian, Russian, or German metadata schemas?

A user is researching Seto traditional women’s clothing, including:

The silver brooches and layered aprons worn during ceremonial events;
Garments documented in photographs or field sketches from 19th-century ethnographic expeditions;
Mentions in ethnographic bibliographies, published in Estonian or German;
Museum entries* in databases like MuIS (Estonian Museums Information System) where items are tagged with terms like “Setu rahvarõivad”, “Setu naise kostüüm”, or “женская одежда сето”.

The system should:

Recognize synonyms and multilingual terms (e.g., Setu = Seto, naise rahvarõivad = women’s folk clothing);
Normalize metadata differences across domains (e.g., MARC for bibliographies, ISAD(G) or RiC for archives, CIDOC CRM for museum artefacts);
Return a harmonized set of entries with linked metadata;
Optionally generate a multilingual summary of the findings and enable further semantic enrichment.

Q3: Translate Information into Structured, Interoperable Knowledge

Our system must be able to convert both structured (e.g., datasets, catalogue entries) and unstructured (e.g., books, photos, oral histories) information into semantic, RDF-based knowledge representations. To ensure cross-domain compatibility, we adopt a composite data model drawing from established ontologies: DCTERMS (libraries), Records in Contexts (archives), CIDOC CRM (museums), and copyright ontologies (for streaming platforms and contemporary media). For example, a museum photograph of Seto traditional clothing must be described in a language-agnostic, conceptually robust format that links garments, places, people, events, and creators.

Q3 Etract structured RDF-based statements from mixed-format cultural heritage records

Can the system extract structured RDF-based statements from mixed-format cultural heritage records—such as a museum photograph with a descriptive title and date—and represent them using interoperable, language-independent vocabularies that support integration across library, archive, and museum domains?

Example objects: MuIS Record: Setu mehed Võmmorski külas Setomaa vallas (1913)
Title (Estonian): Setu mehed Võmmorski külas Setomaa vallas
Date: 1913
Institution: Eesti Rahva Muuseum (Estonian National Museum)
Item type: Photograph
Language of metadata: Estonian
Collection domain: Museum (but relevant to archives and cultural ethnography)

From this item, the system should derive:

There exists a photograph as a physical/visual object.
The photograph was created in 1913.
The photograph depicts Seto men in Võmmorski village, in the Setomaa region.
Since the photo is of people in 1913 and is not marked “nude,” it implicitly depicts traditional Seto male clothing.
The image is part of a museum collection.
The location and people depicted have cultural and ethnographic significance.

@prefix crm: <http://www.cidoc-crm.org/cidoc-crm/> .
@prefix dcterms: <http://purl.org/dc/terms/> .
@prefix schema: <http://schema.org/> .
@prefix ex: <http://example.org/entities/> .

ex:photo_610034 a crm:E22_Man-Made_Object ; # The photograph as an object
 crm:P2_has_type ex:Photograph ;
 crm:P4_has_time-span ex:year_1913 ;
 crm:P108i_was_produced_by ex:photo_creation_event_1913 ;
 crm:P62_depicts ex:seto_men_group_1913 ;
 crm:P7_took_place_at ex:voemmorski_village ;
 dcterms:subject ex:seto_men , ex:seto_traditional_male_clothing ;
 dcterms:creator ex:estonian_national_museum ;
 schema:inLanguage "et" ;
 dcterms:isPartOf ex:muis_collection .

ex:photo_creation_event_1913 a crm:E12_Production ;
 crm:P4_has_time-span ex:year_1913 ;
 crm:P7_took_place_at ex:voemmorski_village .

ex:seto_men_group_1913 a crm:E21_Person ; # or an instance of E74_Group if individuals not known
 crm:P131_is_identified_by "Setu mehed"@et ;
 crm:P74_has_current_or_former_residence ex:voemmorski_village .

ex:seto_traditional_male_clothing a crm:E28_Conceptual_Object ;
 crm:P2_has_type ex:Traditional_Clothing ;
 crm:P70i_is_documented_in ex:photo_610034 .

ex:voemmorski_village a crm:E53_Place ;
 crm:P87_is_identified_by "Võmmorski küla"@et ;
 crm:P89_falls_within ex:setomaa_region .

Q4: Translate Structured Knowledge into Human-Readable Language

Many small communities lack trained librarians, information professionals, or technical ontologists. Therefore, we must offer tools and workflows that can convert structured data into natural-language descriptions in Liv, Mari, Seto, or other relevant languages. Using computational linguistics and native speaker input, we aim to generate readable, accurate sentences—enabling the production of culturally grounded encyclopedic content, and empowering community members to reclaim access to knowledge historically fragmented and dispersed across external archives.

Expected features

✅ Data grounding: Every part of the sentence can be mapped back to a specific RDF triple or identifier.
✅ No hallucination: The output does not introduce facts not present in the data model.
✅ Domain-appropriate naturalization: The sentence respects cultural terms (“Seto men”, “Võmmorski village”) and avoids overly technical phrasing.
✅ Reference transparency: The institutional source (ERM), identifier, and URI are clearly included.

Q4 Convert structured RDF-based knowledge to culturally appropriate, and verifiable sentences

Can the system convert structured RDF-based knowledge—linking people, places, dates, and artefacts—into clear, culturally appropriate, and verifiable sentences in natural language, such as Livonian, Seto, Mari, or English, grounded in identifiable knowledge items and their provenance?

To offer community members, editors, or citizen curators a tool that:

Selects a set of RDF nodes (e.g., one photo, one person, one location)
Uses predefined or AI-augmented linguistic templates for generating narrative
Outputs fully traceable text in multiple target languages
Allows human validation or post-editing by native speakers

Example Workflow (based on Q3 TTL output):

Structured Input (summarized): - There is a photograph (ex:photo_610034) - It depicts a group of Seto men (ex:seto_men_group_1913) - It was taken in 1913 (ex:photo_creation_event_1913) - In Võmmorski village (ex:voemmorski_village) - It’s part of the Estonian National Museum collection - With item ID: ERM Fk 213:172 - Permanent link: https://opendata.muis.ee/object/610034

Target Natural Language Output (English):

“This photograph, taken in 1913 in Võmmorski village (Setomaa), shows a group of Seto men and is held in the Estonian National Museum under the catalogue ID ERM Fk 213:172. The record is available at https://opendata.muis.ee/object/610034.”

Q5: Enable Legal and Technical Interoperability Across Public and Private Knowledge Sources

Much of the cultural heritage of small and stateless communities is held outside formal institutions—in private collections, family archives, grassroots NGOs, and online platforms. While significant effort has been invested in connecting public libraries, archives, and museums, our platform must also support legal and organizational frameworks that enable data exchange and enrichment between public and private stakeholders. This includes respecting intellectual property rights, cultural sensitivities, and varying levels of openness, while still enabling meaningful integration with Wikidata, Wikimedia Commons, and other open repositories. Our goal is to create an inclusive data-sharing model that recognizes the distributed nature of cultural custody in small communities.

To goal of or Finno-Ugric Data Sharing Space offer legally respectful, semantically rich representation of cultural materials sourced from non-institutional domains—especially those that are digital-first, grassroots-curated, and culturally vital, but fall outside traditional GLAM pipelines. It must make this data linkable and referenceable, even if full reuse is not permitted—thus reflecting the true complexity of the heritage landscape.

Can the system document, enrich, and share information about community-curated cultural materials—such as playlists of contemporary Mari, Udmurt, or Samoyedic music—while respecting intellectual property rights, platform-specific terms of use (e.g., Spotify API rules), and the data-sharing preferences of private contributors or NGOs, and still enable integration with open knowledge platforms like Wikidata or Wikimedia Commons where legally and ethically possible?

Example: The Hõimulõimed Music Collection

A Set of playlists curated by the Hõimulõimed association includes:
Contemporary Mari folk-pop tracks available via Spotify
Experimental Udmurt and Samoyedic music hosted on Bandcamp
Unreleased or privately circulated tracks contributed by local musicians or families

System Responsibilities:

Respect platform licensing

For Spotify, adhere to Spotify’s Developer Terms when pulling metadata via the API
For Bandcamp, respect artist-defined permissions (e.g., embeds allowed vs.not)

Respect NGO & community rights

Hõimulõimed might retain curatorial or community-sourced contextual information
Metadata (e.g., language, artist background, cultural function of the song) should be attributed to them, with a Creative Commons or custom community license as applicable

Semantic alignment with archival and Wikidata models

Describe each track using elements from DCTERMS, FRBRoo, or Schema.org (e.g., dcterms:creator, schema:inLanguage, schema:genre)
Link playlists as curated thematic collections (e.g., schema:isPartOf → “Contemporary Mari Folk Sounds”)

Access control

materials unavailable for full reuse (e.g., non-commercial Spotify tracks) can be indexed, not embedded
For Wikimedia, only materials with compatible licensing (e.g., CC BY-SA) are directly transferred to Commons or Wikidata

Competency Questions: Involving Wikipedians and the Wikimedia Ecosystem

Q6: Integrate Contemporary and Non-Traditional Cultural Expressions

In many cases, the most vibrant and visible expressions of cultural identity are not found in traditional heritage institutions, but on commercial platforms and personal networks. For example, playlists of Mari folk-punk, Udmurt folktronica, or Seto death metal circulate primarily through Spotify and YouTube—not museums or archives. Our system must be able to recognize, document, and link to these contemporary cultural artifacts, treating them as part of the evolving knowledge base. This means supporting metadata ingestion from platforms like Spotify, retaining links to their rich descriptive ecosystems (e.g., genre, lyrics, release context), and providing tools for community annotation, translation, and contextualization.


	The following collections contain musical works that are almost always sung in the given language: Khanty Mansi Musical Works Collection; Samoyedic Musical Works Collection; Livonian Musical Works Collection; Veps Musical Works Collection ;Saami Musical Works Collection; Komi Musical Works Collection; Hungarian Musical Works Collection; Finnish Musical Works Collection; Mari Musical Works Collection; Udmurt Musical Works Collection; Estonian Musical Works Collection; Erzya Moksha Musical Works Collection

Playlists

To goal of the FUD is to empower Wikipedians, citizen scientists and activists to contribute culturally and linguistically meaningful content that is is ethically shared and distributed, and which is curated collaboratively into language preservation resources, including dictionaries, lexeme repositories, and encyclopedic entries.

We also want to contribute to provide best use examples of the Wikimedia Commons, Wikidata, the Wikibase Suit, but even more the fledgling Lexeme extension and Wiktionary sister project, because the use of the Lexeme extension is currently lacking really good practices of integration with mainstream computational linguistic projects, and remains a bit cumbersome to work with even with people familar to the Wikibase Cloud or Suit solutions.

Q6 Maningfully transform community-generated cultural expressions into structured knowledge

Can the system meaningfully integrate contemporary, community-generated cultural expressions—such as photographs, videos, oral explanations, and audio recordings—contributed by Liv, Seto, or Mari activists and citizen scientists, and transform these materials into structured, multilingual knowledge that supports Wikimedia’s broader mission in language and cultural preservation?

A Seto speaker uploads to Wikimedia Commons:

A recording of a traditional song, including an oral explanation of its meaning
A short video explaining how a ritual skirt is folded and worn
A written caption or story in Seto, containing several words not yet documented in Wiktionary or Lexeme

The system should:

Ingest and semantically link the media (e.g., via schema:subject, schema:inLanguage)
analyse the spoken and written text to identify potential new lexemes
With expert review, generate: Wikidata Lexemes with grammatical properties (e.g., verb forms, declensions); Wiktionary entries with definitions, pronunciation, example usage.
Link each lexeme back to its attestation context (the song, the ritual, the speaker), preserving linguistic richness and cultural grounding
Allow these outputs to feed back into future encyclopedic articles or WikiGLAM exhibitions in Liv, Seto, Mari, or multilingual format.

Q7: Use Computational Linguistics to Enrich Lexicographic Resources via Lexeme and Wiktionary Integration

The Liv, Seto, and Mari languages are primarily oral, with limited formal grammars or lexicons. Much of the linguistic content connected to cultural heritage—such as song lyrics, object descriptions, or oral histories—is undocumented or inconsistently recorded. Our platform aims to address this gap by using computational linguistic tools to extract structured linguistic data from community-provided texts and audio.

Rather than asking citizen linguists to populate Wikidata Lexemes or Wiktionary pages manually, we design a workflow that enables automated or semi-automated population of these resources. Community narratives, captions, or oral recordings connected to cultural artefacts (e.g., traditional garments, buildings, rituals) are analysed for vocabulary, morphology, and syntax, and the outputs are formatted for compatibility with the Lexeme extension of Wikibase as well as Wiktionary standards.

This approach does several things:

Improves linguistic documentation of small and endangered languages in structured, machine-readable formats;
Links lexemes directly to cultural context, grounding abstract vocabulary in lived practice;
Bridges community knowledge with Wikimedia’s structured linguistic ecosystem, making small languages more visible and semantically integrated.
By doing so, we make the Lexeme extension not just a passive repository, but an active interface between cultural knowledge, language preservation, and structured knowledge production—lowering the barrier of participation while improving linguistic data quality.

To turn cultural expressions from Q6 into linguistically structured outputs that:

Populate and enrich Wikidata Lexeme and Wiktionary
Strengthen formal grammatical understanding of oral or underdescribed languages
Provide community-owned language resources that support both preservation and active use

Q7 Extract structured lexical and grammatical data from contributions

Can the system extract structured lexical and grammatical data from culturally grounded community contributions—such as songs, oral histories, and captions—and use computational linguistics tools to semi-automatically populate Wikidata’s Lexeme extension and Wiktionary entries, supporting formal documentation and visibility of Liv, Seto, and Mari languages?

Q8: Interpretive Layers That Complement Wikipedia’s Notability Criteria

Many elements of small or specialized cultural heritages—such as regional festivals, family-held artefacts, or influential community members—do not meet the general notability criteria required for inclusion in Wikipedia, especially in larger language versions like English. However, these elements are essential to preserving and understanding the cultural world of communities like the Seto or Liv.

Our platform addresses this by supporting curated digital exhibitions and thematic collection pages, such as those developed in our proposed WikiGLAM environment. These exhibitions are not encyclopedic entries per se, but interpretive presentations that provide context, narrative framing, and cultural linkage. They allow, for example, a single page on “Seto Singing Traditions” to present multiple individuals, songs, costumes, and local histories, with appropriate links to Wikidata and Wikimedia Commons, even if no individual item is independently notable.

This competency ensures that structural inclusion gaps in Wikipedia can be ethically and meaningfully addressed without undermining community norms—by offering a parallel format for expression and representation within the broader Wikimedia ecosystem.

The Finno-Ugric Dataspace should allow and support the creation of a WikiGLAM-style virtual exhibition page, as developed by the Estonian Wikipedia, with embedding of Commons-hosted images and videos; linking each item to its Wikidata entity (e.g., a costume, a festival, a village); bilingual or multilingual narrative (e.g., Seto, Estonian, and English); Attribution to community curators, knowledge holders, and institutions, and a clear URI for citation and long-term access.

### Q8 Can the system support the creation of curated digital exhibitions?

Can the system support the creation of curated digital exhibitions—similar in form to the Müstiline ürgmeri page on Estonian WikiGLAM—that present culturally significant people, objects, and practices (such as Seto traditional costumes) through narrative, multimedia, and thematic storytelling, even when these subjects do not meet individual notability criteria for Wikipedia inclusion?

Our curator, or a museum curator wants to document the evolution of Seto women’s traditional clothing from the 19th century to the present with the inclusion of citizen scientists and Seto activists with the following content, including: - Photographs of garments from museum collections and family archives

Descriptions of how garments were worn, made, and passed down
Personal recollections or quotes from Seto women about their significance
Explanations of the symbolic meanings of specific colors or embroidery
Biographical notes on seamstresses or dancers who wore these clothes

Individually, these elements may not qualify for standalone Wikipedia pages—e.g., a single apron design or the life story of a local seamstress. But together, they form a culturally rich narrative that deserves preservation and visibility.

Policy Alignment and Ethical Governance

While the Finno-Ugric Data Sharing Space introduces technical innovations in data modeling and interoperability, its deeper aim is to restore governance of cultural knowledge to the communities it concerns. For communities like the Liv, Mari, or Seto—whose cultural heritage is widely scattered and whose languages are endangered—the ability to access, review, and represent their own cultural record is often constrained by external cataloguing practices, linguistic barriers, and institutional gatekeeping.

Our project reimagines data governance not merely as compliance with standards, but as a process of empowerment. We use policy frameworks such as the European Interoperability Framework (EIF) and the Data Governance Act (DGA) not as goals in themselves, but as tools to support a deeper ethical objective: enabling communities to reclaim agency over how their knowledge is curated, contextualized, and shared.

Making Interoperability Meaningful

The EIF is typically used to guide the design of digital public services across EU member states. We apply it in a new context: community-facing knowledge infrastructures for small-language and niche cultural domains. By aligning legal, organizational, semantic, and technical layers, we enable knowledge to flow across institutional and national borders—making it legible and actionable for the communities it describes. For example, we analyse how a traditional garment might be described differently in archival and library metadata, and we use that understanding to design interoperability that reflects both institutional logic and community meaning. (Curry 2020; EBU and Gaia-X 2022, p16; Nagel and Lycklama 2021)

Making Governance Participatory

The DGA creates legal pathways for data altruism and data intermediation, allowing privately held data to be shared for the public good under new governance models. We build on this by offering a platform where community actors can act as curators, reviewers, and contributors, even when they are not formal institutions. Our system respects provenance, attribution, and usage rights—while ensuring that data about communities is never decoupled from the communities themselves. This aligns with the DGA’s vision of lawful, ethical data sharing, but also extends it toward participatory cultural stewardship.

From Infrastructure to Oversight

Ultimately, we see interoperability and governance frameworks as enablers of ethical oversight, and frameworks of making AI-supported systems like ours trustworthy with real human control. Small and underrepresented communities must be able not only to access what is known about them, but also to critically evaluate and revise that knowledge. They must be able to question categorizations, restore missing context, add language-specific nuance, and share knowledge in the forms and formats they choose. Our staging environment makes this possible by integrating structured data, human-readable language generation, and review workflows that center community consent.

In this sense, the Finno-Ugric Data Sharing Space is not just a technical platform—it is a prototype for community-led knowledge governance in the digital age.

References

:::::::: {#refs .references .csl-bib-body .hanging-indent entry-spacing=“0”} ::: {#ref-antal_grochal_wikimedia .csl-entry} Antal, Dániel, Michal Grochal, and Christos Varvantakis. 2024. ‘Building a Music Data Sharing Space with Wikibase’. Zenodo. https://doi.org/10.5281/zenodo.8046977. :::

::: {#ref-curry_dataspaces_2020 .csl-entry} Curry, Edward. 2020. ‘Dataspaces: Fundamentals, Principles, and Techniques’. In Real-Time Linked Dataspaces: Enabling Data Ecosystems for Intelligent Systems, 45–62. Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-29665-0_3. :::

::: {#ref-dataspace_for_cci_2022 .csl-entry} EBU, and Gaia-X. 2022. ‘Dataspace for Cultural and Creative Industries. Position Paper. v.2.0’. Gaia-X. https://gaia-x.eu/wp-content/uploads/2022/10/EBU_position-paper_Media-Data-Space.pdf. :::

::: {#ref-open_music_europe_sk_mou_2023 .csl-entry} Ministerstvo kultúry SR, and Open Music Europe. 2023. ‘Memorandum o porozumení o využití výsledkov analýz otvorených politík v kontexte slovenského kultúrneho a kreatívneho priemyslu a sektorových verejných politík v spolupráci s konzorciom pre výskum a inovácie s názvom OpenMuse. $$Memorandum of Understanding on utilizing the Open Policy Analysis results of the OpenMuse Research and Innovation Consortium in the context of Slovak cultural and creative industries and sectors’ public policies$$’. https://www.crz.gov.sk/zmluva/7645338/. :::

::: {#ref-design_principles_data_spaces_2021 .csl-entry} Nagel, Lars, and Douwe Lycklama, eds. 2021. ‘Design Principles for Data Spaces. Position Paper. Version 1.0.’ Open DEI. https://doi.org/10.5281/zenodo.5244997. ::: ::::::::

Building a music data sharing space with Wikibase

Sat, 21 Sep 2024 14:00:00 +0200

Wikimedia CEE Meeting 2024 (#WMCEE) is an annual conference centered on Wikimedia projects (Wikipedia and other related projects) in countries of Central and Eastern Europe (more recently, also in Central Asia). It features presentations on Wikimedia projects, other wikis, free/open source software, free knowledge and free content, and these topics’ social and technical aspects.

Federating the Slovak Music Dataspace: Replication in Hungary

Fri, 14 Jun 2024 14:00:00 +0100

This presentation will be made in the Hungarian language. A similar presentation in English is available here.

Vajon miért nem ajánl a Spotify híres ajánlórendszere Szlovákiában szlovák embereknek elég szlovák zenét? És miért akadoznak az egyébként is nem kielégítő számú meghallgatások után a kifizetések? Ezek voltak azok a kérdések, amelyekre a Szlovák Művészeti Tanács kis összegű ösztöndíjával, a state51 támogatásával a Reprex és a SOZA válaszokat kezdett keresni 2020-ban. Azok az adatproblémák, amelyek a nem kielégítő eredményekre vezetnek, nem csak Szlovákiában, hanem lényegében minden kisebb nyelvterületen jelen vannak.

A Szlovák Zenei Adattér egy Horizon Europe programban finanszírozott mintaprojekt, amelyben különböző közgyűjteményi és magán jogkezelői adatok és metaadatok összekapcsolására kerül sor. Az adatkapcsolás jogi, szervezési és szemantikai megoldásai a zenei területtől függetlenül hasznosíthatók különböző jogi státuszú könyvtári-, levéltári-, múzeumi és magán adatbázisok összekapcsolására.

Az előadás célja kettős volt: egyrészt szeretnénk olyan zenei adattulajdonosokat találni, akik láthatóbbá és használhatóbbá szeretnék tenni a gyűjteményeiket Magyarországon. A másodlagos cél az előadásban bemutatott nyílt forráskodú technikák és nyílt adatok kulturájának a terjesztése Magyarországon.

ELTE Digital Heritage Meetup

Thu, 13 Jun 2024 14:00:00 +0100

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Dataweek²⁴: Data-driven Compliance with the Corporate Social Responsibility Directive

Thu, 06 Jun 2024 16:22:00 +0100

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This is a lightly edited version of the presentation at the Data-driven and Automated Compliance section of Dataweek²⁴ Event page.

It has often been said that ESG reporting is a data problem. If you want to fulfil the new requirements set by the Corporate Social Responsibility Directive, which is a legal act that changes European laws on financial accounting and its audit or assurance, you will encounter a very serious data linking and integration problem. If you have such sustainability bookkeeping, you must be able to factually link your financial accounts to your environmental and social accounts. In simple terms, if you expense the cost of 1 MW of electricity, then you cannot calculate the footprint of 0.98 MW in your sustainability report.

All slides

ESG introduces two related challenges, which are best addressed by explicit knowledge bases, enterprise graphs connected to open knowledge graphs, and data sharing spaces.

The company must be able to collect data and report on other companies and things that happen outside of the boundaries of the company or company group. Such a practice had been in place in some heavily regulated industries; for example, the food industry had to bear a qualified responsibility over the entire food supply chain or the nuclear industry for the lifecycle of the fossile fuels.
The company must also be able to curate trustworthy data about entirely new domains: data about the natural or ecological environment, such as data on biodiversity, recycling, water; and data about the social environment, for example, indicators about affected communities, workers in the supply chain or end users.

Joining a data sharing space is a good solution because the new data requirements are not one-time data upgrades but require a permanent data connection with the ecological and social environment. A company and its ERP system or its key performance management users cannot import new data, such as metadata of the EU Taxonomy regulation, and call it a day. Data curation must be an ongoing activity.

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Most companies import relatively little data regularly, and therefore, they have little experience in data curation, i.e., the art of organising, annotating, and integrating data collected from various sources in a way that is presentable in the form of indicators or can be reused later. Perhaps their bookkeeping needs to import foreign exchange rates regularly if they export or import in their activities. Data curation will become an ongoing activity if they start to monitor and measure the environmental and social environment impacts of their actions.

So, if we agree that joining a data sharing space, i.e., an organisation that has pre-agreed terms and conditions on sharing and exchanging data, with pre-agreed terminology or vocabulary (“semantics”) and technology, the question is, what kind of data sharing organisation is the most appropriate?

The CSRD Directive has industry-agnostic elements, which must be fulfilled in every company, and industry-specific elements, which are being developed as we speak. For example, we work mainly with music and film production, both of which belong to the Media and Entertainment Group, which must apply the same industry-specific variations of the European Sustainability Development Standards. We think that the best is to create industry-specific data sharing spaces, such as the famous Data 4.0 for manufacturing, but allow them to be federated and to exploit further synergies: there are plenty of financial, economic, social or environmental data that are used by other existing data sharing spaces and it is not necessary to curate and produce them in, for example, a music or film-production oriented data sharing space.

Are for-profit and social enterprises technically ready to join data-sharing spaces? Not without help. While some large corporations have explicit knowledge bases and enterprise graphs, most smaller European enterprises do not necessarily have a distinct IT function. It is a simple relational database with a fixed schema if they manage databases. Bringing them on board requires simple systems and assistance.

All slides

Reprex is building a data sharing system, Reprexbase, which is built around Wikibase as a knowledge broker system. Wikibase is the open-source software that hosts Wikidata, the largest open knowledge graph in the world. We extend it with various ETL modules and an ecosystem of peer-reviewed statistical libraries to create scientifically correct impact indicators and benchmarks. These extensions are necessary not only because most enterprises are not familiar with working with linked data or graphs but also because Companies are usually familiar with creating financial indicators (for SMEs, simple accounting indicators, larger enterprises with a controlling function, and more complex indicators) but not with the creation of non-financial statistical indicators. The CSRD directive calls for reporting more than 200 indicators over five environmental and four social matter groups, which is more than a company would have on a balanced scorecard. Reliably producing so many indicators is no small feat.

Large and public companies are directly responsible for CSRD reporting, i.e., integrating financial, environmental and social accounting. They need to improve their bookkeeping or ERP systems because often they do not even organise into a database much of the contents of the current invoices (physical quantities, units), which would allow them to create the factual basis between energy cost, energy use and energy footprint, for example. However, they must ask their suppliers for further environmental and social data. Without readily applicable Digital Product Passports, this is a considerable cost, estimated at around 1500 euros per supplier. If you are a festival organiser or a film producer with hundreds of suppliers, this will quickly pay for a simple data sharing space; if you do it with a cluster in your industry, the costs can be significantly reduced.

Open Music Observatory

Wed, 05 Jun 2024 16:00:00 +0100

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Data Sharing Spaces for CSRD

Wed, 05 Jun 2024 14:00:00 +0100

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Dataweek²⁴: Introducing a new European music dataspace

Wed, 05 Jun 2024 09:30:00 +0100

Daniel Antal introduced on the part 2 of Data Week 2024 and LAILEC the Open Music Observatory, the subjective take of the Open Music Europe consortium on creating a European data observatory with the help of a modern, federated, decentralised data-sharing space that is interoperable with various EU digital services. The short presentation was held in the plenary session (16.00-18.00.)

At 14.00, in the Data-driven automated compliance session (Room Erasmus 3), Daniel spoke about the Sustainability and Innovation pillars of the music observatory in light of the complex compliance issues raised by the CSRD Directive and the difficult-to-access but favourable green financing and insurance opportunities open for the music, film, and another creative sector.

If you are participating in Data Week Part 2 or LAILAC, please join the presentation or have an informal chat at the social dinner. Thanks to KU-Leuven and the Big Data Value Association for the organisation and invitation.

Open Music Observatory: Towards a European Music Dataspace

Sun, 02 Jun 2024 17:00:00 +0100

Check out the full presentation here, or the forming observatory on music.dataobservatory.eu.

Daniel Antal will introduce part 2 of Data Week 2024 and LAILEC, the Open Music Observatory, the subjective take of the Open Music Europe consortium on creating a European data observatory with the help of a modern, federated, decentralised data-sharing place that is interoperable with various EU digital services. The short presentation will be in the plenary session (16.00-18.00.)

At 14.00, in the Data-driven automated compliance session (Room Erasmus 3), Daniel will speak about the Sustainability and Innovation pillars of the music observatory in light of the complex compliance issues raised by the CSRD Directive and the difficult-to-access but favourable green financing and insurance opportunities open for the music, film, and another creative sector.

Lightning Talk About the Slovak Music Dataspace

Thu, 04 Apr 2024 18:00:00 +0100

This Lightning talk about the advantages of thinking in datas (sharing) spaces was made in Hungarian for the audience of Networkshop ‘24. For an English language introduction to the topic in the same context see Open Music Dataspace.

Adatterek

Tue, 04 Apr 2023 18:00:00 +0100

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Kérdések?

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LinkedIn: Antal Dániel | Reprex

Interoperability of Music Libraries and Archives with Public and Private Music Services

Mon, 01 Jan 0001 00:00:00 +0000

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Building Blocks

Wikibase: SKCMDb, FUDSS.
SPARQL Endpoint: [requires password]
Sampo Semnantic Browser (beta): http://135.181.91.51:3007/en/
Project Information: https://reprex.nl/project/skcmdb/
👉 Help Us Build a Truly Inclusive European Music Observatory (invitation blogpost)

Questions?

Ask: Email | Keybase

Connect: Daniel Antal, CFA | Reprex

SKCMDb: The Slovak Comprehensive Music Database

Mon, 01 Jan 0001 00:00:00 +0000

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Building Blocks

Wikibase: SKCMDb, FUDSS.
SPARQL Endpoint: [requires password]
Sampo Semnantic Browser (beta): http://135.181.91.51:3007/en/
Project Information: https://reprex.nl/project/skcmdb/
👉 Help Us Build a Truly Inclusive European Music Observatory (invitation blogpost)

Questions?

Ask: Email | Keybase

Connect: Daniel Antal, CFA | Reprex

Wikimuseum

Mon, 01 Jan 0001 00:00:00 +0000

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Building Blocks

Wikibase: SKCMDb, FUDSS.
SPARQL Endpoint: [requires password]
Sampo Semnantic Browser (beta): http://135.181.91.51:3007/en/
Project Information: https://reprex.nl/project/skcmdb/
👉 Help Us Build a Truly Inclusive European Music Observatory (invitation blogpost)

Questions?

Ask: Email | Keybase

Connect: Daniel Antal, CFA | Reprex

Dataspace | Daniel Antal

Udmurt Historical Photographs Collection

Federating Open Knowledge through Wikibase: The Case of The Finno-Ugric Data Sharing Space

Open Access Music Dataspaces – Open Music Observatory

Wikibase as a Data Sharing Space: Connecting Rights, Communities, and GLAM through Federated Infrastructures

Key Ideas

Examples

Next Steps

Livestream recording

Brace for Impact: Trustworthy AI for Good

Key Idea

Next Steps

WikiMuseum = GLAM Wiki + Wikibase + Data Sharing Space

Highlights

Next steps

Livestream recording

Workshop on Metadata Sharing for Small Labels, Libraries, and Collectors

Who should attend?

Why attend?

Practical details

TextileBase: Introduction

Topics For Discussion

Wikibase Interfaces

SPARQL Endpoint

Sampo UI

Interoperability of Music Libraries and Archives with Public and Private Music Services

Wikibase Interfaces

SPARQL Endpoint

Sampo Semantic Browser

Next steps

TextileBase

Why Textiles?

Who is TextileBase for?

Examples from the Database

Connecting Artefacts Across Borders

Understanding Secondary Sources

Following Shifting Place Names

Building a Wikimuseum for Dispersed Collections

Next Steps

Finno-Ugric Data Sharing Space

What are the competencies of the system that we are building?

Finno-Ugric Data Sharing Space

SKCMDb Presentation on IAMIC 2024

The Finno-Ugric Data Sharing Space

Motivation and Background

Prototype for PPP Knowledge Incubation Into the Wikimedia Ecosystem

Competency Questions: All Layers of the European Interoperability Framework Applied

Q1: Define the Scope of the Cultural Universe

Q1: generate structured entries

Q2: Bridge Institutional and Linguistic Silos

Q2 Can the system enable a user—regardless of their language proficiency—to discover and access bibliographic records, archival descriptions, and museum artefacts?

Q3: Translate Information into Structured, Interoperable Knowledge

Q3 Etract structured RDF-based statements from mixed-format cultural heritage records

Q4: Translate Structured Knowledge into Human-Readable Language

Q4 Convert structured RDF-based knowledge to culturally appropriate, and verifiable sentences

Q5: Enable Legal and Technical Interoperability Across Public and Private Knowledge Sources

Q5 Dcument, enrich, and share information about materials while respecting intellectual property rights

Competency Questions: Involving Wikipedians and the Wikimedia Ecosystem

Q6: Integrate Contemporary and Non-Traditional Cultural Expressions

Q6 Maningfully transform community-generated cultural expressions into structured knowledge

Q7: Use Computational Linguistics to Enrich Lexicographic Resources via Lexeme and Wiktionary Integration

Q7 Extract structured lexical and grammatical data from contributions

Q8: Interpretive Layers That Complement Wikipedia’s Notability Criteria

Policy Alignment and Ethical Governance

Making Interoperability Meaningful

Making Governance Participatory

From Infrastructure to Oversight

References

Building a music data sharing space with Wikibase

Federating the Slovak Music Dataspace: Replication in Hungary

ELTE Digital Heritage Meetup

Diák navigálása

Dataweek²⁴: Data-driven Compliance with the Corporate Social Responsibility Directive

Open Music Observatory

Slide navigation

Data Sharing Spaces for CSRD

Slide Navigation (press F)

Dataweek²⁴: Introducing a new European music dataspace

Open Music Observatory: Towards a European Music Dataspace

Lightning Talk About the Slovak Music Dataspace

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