Roman Baum

@RomanBaum
123 Followers
145 Following
841 Posts
scientific software developer; interested in terminologies, ontologies and knowledge graphs; working on SemLookP and TS4NFDI
ORCIDhttps://orcid.org/0000-0001-5246-9351
GitHubhttps://github.com/rombaum

Today, I joined the EOSC Symposium 2025 in Brussels. Some minutes ago the #EOSC federation was celebrated.

#EOSCSymposium2025

Last but not least I held my talk about #terminology services in the DACH region landscape at the #ESciTage2025 . The slides (in German) are already published via Zenodo.

Link to the slides: https://doi.org/10.5281/zenodo.15016365

#TS4NFDI #ESciTage #nfdirocks #Base4NFDIServiceStewardsRocks

Terminology Services in the DACH region landscape - What are the essential requirements

Terminologies and terminology services are widely employed within the National Research Data Infrastructure (NFDI) domain and other related fields, particularly in the DACH region. To gain a structured understanding of how these services and terminologies are used in this context, a comprehensive requirement analysis was conducted. This analysis was part of the initialization phase of the Base4NFDI basic service Terminology Services 4 NFDI (TS4NFDI). The results of this analysis have been compiled into a detailed report which will inform the future direction of TS4NFDI.    The primary goal of TS4NFDI is the standardization and harmonization of terminology services within the NFDI. By doing so, it aims to integrate individual solutions into a standardized, interoperable, and sustainable terminology service. This service will be embedded in the long-term infrastructure of NFDI, ensuring consistency and reusability of terminologies across different domains. The integration of the TS4NFDI services is expected to improve the overall efficiency and effectiveness of terminology management and usage, facilitating cross-domain collaboration and knowledge sharing within the NFDI community.   The requirements analysis was designed to capture the requirements of the NFDI consortia and to identify potential use cases to support the integration of terminology services into their applications. The analysis targeted three main groups: i) developers and ii) managers of web services which interact or wish to interact with terminology services and iii) users who work with terminologies or ontologies. A total of 69 participants completed the requirement survey, providing valuable insights into the current challenges and requirements for terminology services.    This contribution will provide an overview of the survey design and structure, as well as the results of the requirements analysis. Key findings will be shared, highlighting the major needs and opportunities in the current implementation of terminologies and services. These insights will form the basis for the ongoing development and refinement of TS4NFDI services. In addition, the contribution will illustrate the practical application of these findings through a specific use case. This use case will demonstrate how a terminology service can interact with a web service to enhance access to and utilization of terminologies in a streamlined manner. It will provide concrete examples and practical insights into technical and organizational aspects of integrating terminology services into existing infrastructures, emphasizing best practices and lessons learned.   The requirement analysis of TS4NFDI not only presents the current needs in terminology use and management but also sets the foundation for future developments that will foster efficiency, sustainability, and collaboration across research domains. By addressing these requirements, TS4NFDI aims to enhance the NFDI data infrastructure, ensuring that terminology services evolve alongside the changing needs of the research community.   This record contains the slides of the Talk. The slides are in German Language

Zenodo

The #ESciTage2025 in Heidelberg finally started.

I joined the workshop of the basic service #DMP4NFDI They will give an introduction to the tool #RDMO and will talk about the .#NFDI #DMP Template Framework.

#nfdirocks #base4nfdi #ESciTage

@freibier_cc

Today, I received two nice bottles 🍻 of your beer from a colleague of mine. I scanned the QR code and had a look into the recipes. Sadly, I could not find any of the #IPA. And for the #wiess there is a different label at the webpage [1].

Could yo tell me what kind of hops you used for the IPA?

[1] https://freibier.cc/mhd/25/04/19/index.html

#HeavenInABottle #beersofmastodon #HeavenInACan

freibier.cc

Yesterday, the Services Roadshow by #Base4NFDI took place. I presented there the basic services #TS4NFDI. I was also on the road in #Leipzig at the #Kubus to join the @NFDI4Microbiota Annual Conference.

The @NFDI4Microbiota thankfully provides me a place to held my talk. Here is an exclusive backstage picture.

By the way you could find the slides of the roadshow at Zenodo:
https://doi.org/10.5281/zenodo.14281349

#nfdirocks #nfdi

Terminology Services 4 NFDI (TS4NFDI)

The record contains the slides to the talk about the Base4NFDI basic service Terminology Services 4 NFDI (TS4NFDI) at the Services Roadshow by Base4NFDI.

Zenodo

@renat_shigapov

The poster for the @BERD_NFDI is now also published on Zenodo [1]. The terminology service is accessible via [2].

[1] https://doi.org/10.5281/zenodo.14230727

[2] https://ts.berd-nfdi.de/

#uc4b #uc4b2024 #nfdirocks

A terminology service via TS4NFDI for BERD@NFDI knowledge graph infrastructure

The use of standardised terminologies facilitates interoperability and data integration, making research data FAIR (Findable, Accessible, Interoperable, Reusable). Terminologies are often made available via terminology services through graphical user interfaces (GUIs) and APIs. Several domain-specific terminology services already exist within the NFDI consortia such as SemLookP [1, 2], BiodivPortal [3], and NFDI4Chem Terminology Service [4, 5]. In the social sciences, services such as the GESIS Controlled Vocabulary Service [6] which is based on SKOSMOS and the STW Thesaurus for Economics [7] hosted by the ZBW are notable examples. However, a common terminology service for BERD@NFDI does not yet exist. BERD@NFDI is developing a knowledge graph infrastructure (KGI) for German company data, transforming analogue books into multiple knowledge graphs through optical character recognition, automatic structuring, and semantification [8, 9, 10]. These knowledge graphs are a part of distributed KGI4NFDI [11, 12]. A common terminology service for BERD@NFDI would significantly enhance the efficiency of  semantification and linking processes. One of the aims of BERD@NFDI is to ensure that data management adheres to the highest standards of integrity and accessibility. To achieve this, we are setting up a terminology service for BERD@NFDI using the Terminology Service Suite (TSS) [13]. The widgets of the TSS could handle multiple backends such as SKOSMOS, OLS and OntoPortal. This ensures that the newly developed terminology service for the BERD community meets the standards of other terminology services, promoting interoperability with services such as the GESIS Controlled Vocabulary Service, which utilises SKOSMOS as a backend system. The new terminology service can be seamlessly integrated into the BERD knowledge graph infrastructure. The GUI of the terminology service, constructed using TSS widgets, allows for straightforward embedding of terminology service data into other applications or services within the Business, Economic, and Related Data domains. Additionally, terminologies canbe accessed via the provided APIs, ensuring wide usability and integration. By implementing a standardised terminology service, BERD@NFDI not only enhances the semantification and linking of knowledge graphs but also ensures that these processes are aligned with the broader NFDI goals. The terminology service supports the overall mission of the NFDI by promoting data interoperability, thereby advancing research capabilities across various domains. Keywords: terminology service, knowledge graph, FAIR research data [1] Baum, R. (2024, Januar 18). SemLookP widgets - Embed ontologies in service applications. Zenodo. doi.org/10.5281/zenodo.10529181[2] https://semanticlookup.zbmed.de/[3] https://biodivportal.gfbio.org/[4] Strömert, P., Limbachia, V., Oladazimi, P., Hunold, J., Koepler, O., Towards a versatile Terminology Service for empowering FAIR research data: Enabling ontology discovery, design, curation, and utilization across scientific communities. Studies on the Semantic Web, Vol. 56 Knowledge Graphs: Semantics, Machine Learning, and Languages. IOS Press; 2023. doi:10.3233/ssw230005[5] https://terminology.nfdi4chem.de[6] https://lod.gesis.org/en/[7] https://zbw.eu/stw[8] Shigapov, R. (2022, November 28). Knowledge graphs in BERD and in NFDI. Focused Tutorial on Capturing, Enriching, Disseminating Research Data Objects. Use Cases from Text+, NFDI4Culture and BERD@NFDI, Mannheim and online. Zenodo. doi.org/10.5281/zenodo.7373258[9] Kamlah, J., Schmidt, T., & Shigapov, R. (2022, November 28). Extracting research data from historical documents with eScriptorium and Python. Focused Tutorial on Capturing, Enriching, Disseminating Research Data Objects. Use Cases from Text+, NFDI4Culture and BERD@NFDI, Mannheim and online. Zenodo. https://doi.org/10.5281/zenodo.7373135[10] Kamlah, J., & Shigapov, R. (2023, Mai 5). The German Production Pipeline: Mannheim - OCR & Knowledge Graphs. Zenodo. https://doi.org/10.5281/zenodo.7900133[11] Rossenova, L., Schubotz, M., & Shigapov, R. (2023). The Case for a Common, Reusable Knowledge Graph Infrastructure for NFDI. Proceedings of the Conference on Research Data Infrastructure , 1. https://doi.org/10.52825/cordi.v1i.266[12] Rossenova, L., Shigapov, R., Schubotz, M., Limani, F., Zapilko, B., & Förstner, K. U. (2024). KGI4NFDI - Knowledge Graph Infrastructure for the German National Research Data Infrastructure. Zenodo. https://doi.org/10.5281/zenodo.13118749[13] https://github.com/ts4nfdi/terminology-service-suite

Zenodo

Today I will join the concert of Public Service Broadcasting (#PSB) at the #ColumbiaTheater in #Berlin. I think my first concert in this location was in 2004. Back in the days the location was called #ColumbiaFritz. I watched there an awesome concert of Sophia with @nixi .

Sadly he could not join today. Next to music @nixi and I also love craft beer. So before Theme concert I walked to #Bräugier and drink a smoked #unicorn dedicated to him.

What should I say? It will be an awesome evening.

On my way to #Berlin . Tomorrow the 1st User Conference 4 Base (#UC4B) will start at the #Fraunhofer #FOKUS . I'm very exciting to meet interested users and members of the different basic services.

I will represent @renat_shigapov with a poster about the @BERD_NFDI #Terminology Service.

In addition, I will also share insight about #TS4NFDI in a talk. The material for the poster and the talk will be published later via Zenodo. I will also share the DOIs here as well.

#uc4b2024 #nfdirocks

I'm sitting in a train on my way to my home town. I found this nice #beer can on a quick stop in #Berlin. The cold pale ale with the name "Trainspotting Berlin" has a nice fruity citrus flavor.

The #craftbeer was brewed by #Lemkebräu and #Brewdog for the Berlin Beer Week 2024.

#HeavenInACan #beersofmastodon

Today, our #TS4NFDI proposal for the #Base4nfdi integration phase was accepted by the 26 consortia of the #NFDI .

I'm happy that we could continue our journey with new great project partners such as @nichtich from @nfdi4objects @epoz and Kolja Bailly from @nfdi4culture and Timo Mühlhaus from @nfdi4plants in 2025.

#nfdirocks #ontology #terminology #ontologies

You could find the proposal for the intregration phase at Zenodo: https://doi.org/10.5281/zenodo.13921325

Terminology Services 4 NFDI (TS4NFDI) - Integration Phase Proposal

Terminologies are essential for semantically linking research data across disciplines, ensuring conceptual alignment even with different nomenclatures. Standardised terminologies promote interoperability and data integration, making data understandable and reusable across various sources and fields. Terminologies are used in services and tools for annotating and linking research, necessitating the development of several terminology services (TSs) for publishing, describing, and curating terminologies. Aligning, managing, and developing these TSs is challenging but crucial for consensus building and harmonisation across disciplines. Terminology Services 4 NFDI (TS4NFDI) aims to standardise and harmonise terminology management within NFDI, facilitating consensus and interoperability across disciplines to achieve a shared knowledge representation framework. During the integration phase, we will consolidate the service design of the API Gateway, Service Wrappers, Mapping Service, and reusable GUI widgets. We will extend the coverage of disciplines and integrate additional terminology sources and services to meet the requirements gathered during the initialization phase.

Zenodo