Information Service Engineering

Semantic Web technologies represent the backbone of many research and infrastructural projects within the Knowledge Graphs department of FIZ ISE. One focus lies in efficient ontology design and the improvement of ontology design methodologies in specific application areas, as e.g., for cultural heritage or materials science. Ontologies serve as the foundation of innovative information systems via knowledge graphs, which enable semantic search and exploration. 

Significant results of these efforts are, as e.g., a Knowledge graph-based research data infrastructure for several NFDI consortia, or the mid-level PMDcore ontology covering the entire domain of materials science engineering.

Key applications within the Machine Learning department of FIZ ISE are the population of knowledge graphs from unstructured data, methods of natural language processing, visual analysis, and further semantic analysis. All of which rely mostly on machine learning and deep learning technologies for information and knowledge extraction. 

One particular challenge is the frequently occurring lack of well suited or sufficient training data which motivate further research in few-shot or zero-shot learning scenarios, in particular with the help of large language models. 

Significant results in this research domain are, as e.g., the improved integration of the inherent semantics of literals in knowledge graph embeddings, or improving the state-of-the-art in Knowledge graph link prediction.

FIZ ISE@Mastodon

FIZ ISE@Fediverse

FIZ ISE@YouTube

• 2020 – 2023, TRANSRAZ, Leibniz-Gemeinschaft
• 2020 – 2023, ReNewRS, Baden-Württemberg Stiftung
• 2020 – 2023, ITFLOWS, EU
• 2020 – 2022, Wiedergutmachung, Bundesministerium der Finanzen
• 2020 – 2021, Archivportal-D Sachthematische Zugänge (Folgeprojekt), Deutsche Forschungsgemeinschaft, DFG
• 2019 - 2022, QPTDat, Bundesministerium für Bildung und Forschung (BMBF)
• 2019 - 2022, MaterialDigital, Fraunhofer-Institut für Werkstoffmechanik IWM within the scope of a BMBF project
• 2019 – 2021, NanoS-QM, Bundesministerium für Bildung und Forschung (BMBF
• 2018 – 2020, Archivportal-D: Sachthematische Zugänge, Deutsche Forschungsgemeinschaft (DFG)
• 2019 – 2020, Time Machine: Big Data of the Past for the Future of Europe, EU Horizon 2020 (FET Flagships)
• 2018, SlideWiki EU Project – EU ICT-20-2015, EU Horizon 2020

2024

26.05.2024
Sasha Bruns, Tabea Tietz and Harald Sack, together with external partners from the University of Bologna and Vrije University Amsterdam, are organizing a workshop on "Semantic Digital Humanities", which will be held as part of ESWC 2024. The main goal is to build a bridge between technical semantic web-based solutions and the research questions of the humanities community. All information about the workshop and the "Call for Papers and Panels" are available at https://semdh.github.io/.

2023

31.01.2023
Harald Sack member of the Advisory Board of the TRIFECTA, EU ERC Consolidator Grant project.

19.01.2023
Prof. Sack gave a Keynote at EGC2023 (Conférence Extraction et Gestion des Connaissances (EGC) 2023 - Sciencesconf.org): „Symbolic and Subsymbolic AI - an Epic Dilemma?“

2022

15.12.2022-16.12.2022
ISE organises a workshop in Karlsruhe together with members of the MatWerk Task Area Ontologies for Material Sciences with the aim of adjusting the NFDI4Culture core ontology for the needs of NFDI-MatWerk  and to fill it with data.

02.12.2022
Harald Sack gives a talk with the title „Symbolic and Subsymbolic AI - an Epic Dilemma!“ at the Conference Cultures of Artificial Intelligence in the Baden State Museum.

25.11.2022
ISE organises a NFDI4Culture workshop with the aim of integrating the Knowledge Graph further into the NFDI4Culture Webportal together with members of the Academy of Sciences and Literature Mainz.

24.11.2022
Russa Biswas verteidigt erfolgreich ihre Dissertation zum Thema „Embedding Based Link Prediction for Knowledge Graph Completion“.

03.11.2022
Jörg Waitelonis gives a talk about the sphere of activity Semantic Interoperability at the PMD plenary meeting. 

01.11.2022
Harald Sack becomes member of the Semantic Web Science Association (SWSA).

24.10.2022
ISE organises the 4. Internationalen Workshop on Deep Learning for Knowledge Graphs 2022 at the 21st International Semantic Web Conference (ISWC2022).

23.09.2022
Cristian Santini presents his talk entitled "Knowledge Extraction for Art History: the Case of Vasari's The Lives of the Artists" at the 3rd Conference on Digital Curation Technologies (Qurator2022).

13.09.2022
Harald Sack presents his talk „Social and Technical Biases in Knowledge Graphs“ within the framework of the Dagstuhl Seminar „Knowledge Graphs and their Role in the Knowledge Engineering of the 21st Century“, Schloss Dagstuhl.

08.07.2022
Harald Sack gives the dinner speech at the Gala Dinner of the International Semantic Web Research Summer School 2022 (ISWS2022) entitled: "How to give a memorable Scientific Presentation".

03.07.2022-09.07.2022
The International Semantic Web Research Summer School 2022 (ISWS2022) takes place under the direction of Harald Sack and Valentina Presutti.

24.06.2022
Oleksandra Bruns, Etienne Posthumus and Tabea Tietz win the MOST FAIR award with their team at the Coding da Vinci Culture-Hackathon Baden-Württemberg 2022:
Simeon Allmendinger, Joel Oswald, Emil Meckel, Oleksandra Bruns, Tabea Tietz, Etienne Posthumus: ansights, {COD1NG DA V1NC1} Culture-Hackathon Baden-Württemberg 2022.

28.04.2022
Harald Sack gives the talk „Pilotprojekt Wiedergutmachung Ludwigsburg - Wissenschaftlich-technische Herausforderungen und Stand der Arbeiten“ within the framework of the symposium "Unrecht erinnern – Unterlagen zur NS-Wiedergutmachung werden digital" in the State Archives Ludwigsburg.

07.03.2022
Harald Sack gives the talk „Knowledge Graphs and (WikiBase) @ nfdi4Cultur“ in the context of the virtual  NFDI InfraTalk. The video of the talk is available on YouTube.

04.02.2022
Harald Sack gives a Keynote with the title "With Knowledge Doubt Increases - The Significance of Knowledge in Knowledge Graphs" at the 6th International Conference on Graphs & Networks in the Humanities 2022. The video of the talk is available on YouTube.

31.10.2021
Harald Sack gives a talk with the title "The NFDI4Culture Knowledge Graph and WikiBase - Wikibase as RDM Infrastructure within NFDI4Culture" on the occasion of the WikiDataCon 2021.

21.10.2021
Oleksandra Bruns and Tabea Tietz present a talk with the title "Methoden und Herausforderungen einer virtuellen Forschungsumgebung am Beispiel des Projekts TOPORAZ – Nürnberger Topographie in Raum und Zeit" the 28. symposium of the working group of German and Polish monument conservators.

06.10.2021
Harald Sack and Daniel Fähle from the State Archives of Baden-Württemberg present a talk with the title „Ein digitaler Werkzeugkasten für historische Forschung mit Archivgut Status quo und Perspektiven“ anlässlich at the 53. Deutschen Historikertag, Fachsektion, Ludwig-Maximilians-University Munich.

• Genet Asefa Gesese: Leveraging Literals for Knowledge Graph Embeddings, 2023.
• Russa Biswas: Embedding Based Link Prediction for Knowledge Graph Completion, 2022.
• Rima Türker: Short Text Categorization using World Knowledge, 2021.
• Henning Agt-Rickauer: Supporting Domain Modeling with Automated Knowledge Acquisition and Modeling Recommendations, 2020, DOI: http://dx.doi.org/10.14279/depositonce-9600.
• Jörg Waitelonis: Linked Data Supported Information Retrieval (PDF), 2018, DOI: 10.5445/IR/1000084458.
• Kinga Schumacher: Hybrid semantic search - a combination of fact and document retrieval, 2017, URN: urn:nbn:de:kobv:517-opus4-405973, ORCID: https://orcid.org/0000-0003-4509-5827. [local copy (PDF)]

• Vjola Cili: Leveraging Neural Language Models for Knowledge Graph Completion, 2023 [local copy (PDF)]
• Radina Sofronova: Exploiting Language Models for Entity Alignment in Knowledge Graphs, 2022 [local copy (PDF)]
• Schiran Schasith Nosrati: Semantic Aggregation and Labeling of the Patent Information Space, 2022
• Patrick Eisele: Image2Type: Entity Type Prediction via Image Analysis, 2022, DOI: 10.5445/IR/1000144260, [local copy (PDF)]
• Ilona-Dewi Kusardi: Quality Assured Information Extraction from Historical Address Books for Knowledge Graph Construction, 2021.
• Felix Boltz: Concept-level Sentiment Analysis with  SenticNet and Word Embeddings, 2021
• Qingyuan Bie: Words Are Not Enough! Short Text Classification Using Words and Entities, 2019, [local copy (PDF)]
• Tatyana Skripnikova: Semantic Exploration of Text Documents with Multi-Faceted Metadata Employing Word Embeddings: The Patent Landscaping Use Case, 2019, DOI: 10.5445/IR/1000098959, [local copy (PDF)]
• Maximilian Blanck: Predicting Price Residuals in Online Car Marketplaces with Natural Language Processing, 2019, [local copy (PDF)]
• Tabea Tietz: The Application of Semantic Web Technologies to Content Analysis in Sociology, 2018, DOI: 10.5445/IR/1000092077, [local copy (PDF)]
• Lucas Werkmeister: Schema Inference on Wikidata, 2018, DOI: 10.5281/zenodo.2578259. [local copy (PDF)]

• Rick Petzold: Combining Text and Relational Knowledge for Unsupervised Learning for Downstream Tasks, 2021
• Anastasia Prikhodina: Handwritten and Printed Text Separation For Historical Documents, 2021, DOI: 10.5445/IR/1000141960,  [local copy (PDF)]
• Hannah Greven: Analyzing Bias in a Knowledge-Aware News Recommendation System, 2021, DOI: 10.5445/IR/1000142028, [local copy (PDF)]
• Aaron Maier: Image Recognition for the Exploration of Historical Photograph Collections, 2021
• Benedikt Böhme, Evaluation of Fine-Grained Text Classification, 2021
• Sven Bulach, Exploring Graph traversal Algorithms for Knowledge Graphs, 2020
• Manuel Kaschura: Analyzing and Visualizing Twitter Streams based on Trending Hashtags, 2020, DOI: 10.5445/IR/1000127966. [local copy (PDF)]
• Le Yang: Wikipedia List Extraction, 2020
• Radina Sofronova: Fine-grained Type Prediction of Entities using Knowledge Graph Embeddings, 2019, DOI: 10.5445/IR/100010000, [local copy (PDF)]
• Marc Jepsen: Temporal Signature Dataset from Wikipedia, 2019

• Simeon Allmendinger, Joel Oswald, Emil Meckel, Oleksandra Brun, Tabea Tietz, Etienne Posthumus: ansights (https://codingdavinci.de/de/projekte/ansights), {COD1NG DA V1NC1} Culture-Hackathon Baden-Württemberg 2022. Prize for the "Most FAIR" project. The “ansights“ project makes it possible to automatically evaluate document content and to link it to  the content of historical newspapers. ”ansights“ automatically generates keywords from uploaded documents and links them with each other. The results are visually recorded and processed based on their degree of content overlap. The application incorporates data sets from different sources: the university library of Mannheim, Haus der Geschichte Baden-Württemberg, Gemeinsame Normdatei (GND) and Wikidata.
• Radina Sofronova, Russa Biswas, Mehwish Alam and Harald Sack
  Best Poster Paper Award at the 17th European Sematic Web Conference (ESWC 2020) for “Entity Typing based on RDF2Vec using Supervised and Unsupervised Methods”, 02.-04.06.2020
• Tabea Tietz, Kanran Zhou, Jörg Waitelonis and Paul Felgentreff
  Linked Stage Graph using data from the Stuttgart State Theatre in the Coding da V1nc1 Süd competition: Prize for the “most useful” project, 18.05.2019.
• Harald Sack
  Lecture „Information Service Engineering“, Summer semester 2018: In the evaluation of the 83 lectures at the KIT Faculty of Economics by the students, this lecture was one of the ten with the highest scores, 12.12.2018.
• Rima Türker, Lei Zhang, Maria Koutraki and Harald Sack
  Honorable Mention for „,The Less Is More‘ for Text Classification“ at the 14th International Conference on Semantic Systems 2018 (SEMANTiCS 2018), 10.-13.09.2018.

• Information Service Engineering at Institute for Applied Informatics and Formal Description Systems (AIFB) at Karlsruhe Institute for Technology (KIT)
• Information Service Engineering - ISE 2021 Lecture, Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB)/ Karlsruher Institut für Informatik (KIT), 2021
• Knowledge Graphs, openHPI Massive Open Online Course (MOOC), 2020
• Information Service Engineering, openHPI Massive Open Online Course (MOOC), 2017
• Linked Data Engineering, openHPI Massive Open Online Couse (MOOC), 2016
• Sematic Web Technologies, openHPI Massive Open Online Couse (MOOC), 2014/2015
• Sematic Web Technologies, openHPI Massive Open Online Couse (MOOC), 2013

Information Service Engineering @ Google Scholar

Information Service Engineering @ GitHub

2024 Publications

• O. Bruns, A. Poltronieri, L. Stork, T. Tietz (eds.), Proceedings of the First International Workshop of Semantic Digital Humanities (SemDH 2024), co-located with ESWC 2024, CEUR Workshop Proceedings, vol 3724, CEUR-WS.org, https://ceur-ws.org/Vol-3724, 2024 [bibtex]
• M. Vafaie, M. Tan, H. Sack, Digitalisation Workflows in the Age of Transformer Models: A Case Study in Digital Cultural Heritage, Proc. of 1st International Workshop of Semantic Digital Humanities (SemDH 2024), CEUR-WS.org, online ceur-ws.org/Vol-3724/short5.pdf [local copy(PDF),bibTeX]
• S. R. Ondraszek, H. Sack, E. Posthumus, Viewsari: New Perspectives on Historical Network Analysis in Giorgio Vasari's The Lives Using Knowledge Graphs, in M. Grandjean (Ed.), Historical Network Research Conference 2024 - Book of Abstracts, 2024, pp. 137--139. DOI: 10.528/zenodo.12665443 [local copy(PDF)|bibtex]
• O. Bruns, T. Tietz, L. Söhn, J. J. Steller, S. R. Ondraszek, E. Posthumus, T. Schrade, H. Sack, What’s Cooking in the NFDI4Culture Kitchen? A KG-based Research Data Integration Workflow, in Proc. of 4th Workshop on Metadata and Research (objects) Management for Linked Open Science - DaMaLOS 2024, 2024 [local copy(PDF),bibTeX]
• S. R. Ondraszek, G. Petri, U. Blumenthal, L. Dieckmann, E. Posthumus, H. Sack, eXtreme Design for Ontological Engineering in the Digital Humanities with Viewsari, a Knowledge Graph of Giorgio Vasari’s The Lives, Proc. of 1st International Workshop of Semantic Digital Humanities (SemDH 2024), CEUR-WS.org, online ceur-ws.org/Vol-3724/paper5.pdf [local copy(PDF),bibTeX]
• M. A. Tan, S. Jiang, H. Sack, How to Turn Card Catalogs into LLM Fodder, Proc. of the Workshop on Deep Learning and Linked Data (DLnLD)@ LREC-COLING 2024, 2024, pp. 53-65 [local copy(PDF),bibTeX]
• S. Hertling, E. Norouzi, H. Sack, OAEI Machine Learning Dataset for Online Model Generation, Proc. of the 21st Extended Semantic Web Conference (ESWC 2024), Poster & Demos, 2024. [local copy(PDF),bibTeX]
  DOI: 10.48550/arXiv.2404.18542
• Morand, L.; Norouzi, E.; Weber, M.; Butz, A; Helm, D.
  Data Driven Accelerated Parameter Identification for Chaboche Type Visco Plastic Material Models to Describe the Relaxation Behavior of Copper Alloys
  Experimental mechanics, 2024; vol. 64(5), p. 691-702
  DOI: 10.1007/s11340-024-01057-x
• Bayerlein, B., Schilling, M., von Hartrott, P., Waitelonis, J., Semantic integration of diverse data in materials science: Assessing Orowan strengthening. Scientific data, 11(1), 434 (2024). DOI: 10.1038/s41597-024-03169-4 [local copy (PDF) | bibtex]
• Schilling, M., Bayerlein, B., von Hartrott, P., Waitelonis, J., Birkholz, H., Dolabella Portella, P. and Skrotzki, B. (2024), FAIR and Structured Data: A Domain Ontology Aligned with Standard-Compliant Tensile Testing. Advanced Engineering Materials. 2400138. https://doi.org/10.1002/adem.202400138 [local copy (PDF) | bibtex]
• J. J. Steller, L. C. Söhn, J. Tolksdorf, O. Bruns, T. Tietz, E. Posthumus, H. Fliegl, S. Pittroff, H. Sack, T. Schrad: Communities, Harvesting, and CGIF: Building the Research Data Graph at NFDI4Culture. In Proc. of the DHd 2024, 10. Tagung des Verbands Digital Humanities im deutschsprachigen Raum. [(BibTeX) | (presentation slides)].
• T. Tietz, H. Sack: Towards Linked Stage Graph 2.0 - a Knowledge Graph based Research Resource for the Performing Arts, In Proc. of the DHd 2024, 10. Tagung des Verbands Digital Humanities im deutschsprachigen Raum. [(BibTeX) | (presentation slides)].
• R. Naccarelli, F. D’Agresti, S.D. Roelen,  K. Jokinen,  S. Casaccia, G.M. Revel, M. Maggio, Z. Azimi, M.M. Alam, Q. Saleem, et al. Empowering Smart Aging: Insights into the Technical Architecture of the e-VITA Virtual Coaching System for Older Adults. Sensors 2024, 24, 638. https://doi.org/10.3390/s24020638
• Miwa, K., and Yokota, T.,  Wang, Q.,  Sakurai, T., Fliegl, H., Sundholm, D.,  Shinokubo, H., Metallaantiaromaticity of 10-Platinacorrole Complexes, 
  Journal of the American Chemical Society, Volume 146, 2024, DOI: https://doi.org/10.1021/jacs.3c10250 [local copy (PDF) | bibtex]
• Bayerlein, B., Schilling, M., Birkholz, H., Jung, M., Waitelonis, J., Mädler, L., Sack, H., PMD Core Ontology: Achieving semantic interoperability in materials science, Materials & Design, Volume 237, 2024, CC BY 4.0, DOI: https://doi.org/10.1016/j.matdes.2023.112603 [local copy (PDF)|bibtex]

2023 Publications

• Thomas, A., Durmaz, A.R., Alam, M., Gumbsch, P., Sack, H., Eberl, C. Materials fatigue prediction using graph neural networks on microstructure representations. Sci Rep 13, 12562, CC BY, 2023. https://doi.org/10.1038/s41598-023-39400-2 [local copy(PDF)|bibTeX]
• M. Vafaie, O. Bruns, N. Pilz, J. Waitelonis, H. Sack: CourtDocs Ontology: Towards a Data Model for Representation of Historical Court Proceedings. In Proc. of the 12th Knowledge Capture Conference (K-CAP'23), 2023, pp 175-179, online at https://dl.acm.org/doi/abs/10.1145/3587259.3627562 [local copy(PDF)|BibTeX]
• S. Thiel and E. Posthumus, xCurator - AI-Supported Exploration and Curation of Digital Collections, in S. Thiel and J. C. Bernhardt (eds.), AI in Museums Reflections, Perspectives and Applications, Transcript, Independent Academic Publishing, 2023, pp. 233-245. CC BY 4.0, ISBN 978-3-8394-6710-7 [local copy (PDF) | BibTex]
• K. Mohiuddin, M.A. Alam, M.M. Alam, P. Welke, M. Martin, J. Lehmann, S. Vahdati: Retention is All You Need.In Proc. of the 32nd ACM International Conference on Information and Knowledge Management (CIKM '23), 2023. Association for Computing Machinery, New York, NY, USA, 4752–4758, online at https://dl.acm.org/doi/10.1145/3583780.3615497 . [local copy (PDF) | (BibTeX)]
• R. Biswas, L Kaffee, M. Cochez, S. Dumbrava, T. Jendal, M. Lissandrini, V. Lopez, E. L. Mencía, H. Paulheim, H. Sack. E. K. Vakaj, G. de Melo, Knowledge Graph Embeddings - Open Challenges and Opportunities, In Special Issue on Trends in Graph Data and Knowledge. Transactions on Graph Data and Knowledge (TGDK), Volume 1, Issue 1, pp. 4:1-4:32, Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2023. CC BY 4.0, DOI: https://doi.org/10.4230/TGDK.1.1.4  [local copy (PDF)|BibTex]
• S. Karmakar, M. Zloch, F. Limani, B. Zapilko, S. Upadhyaya, J. D’Souza, L. Castro, G. Rehm, M. Ackermann, H. Sack, Z. Boukhers, S. Schimmler, D. Dessí, P. Mutschke, S. Dietze: Research Knowledge Graphs in NFDI4DS. in INFORMATIK 2023 - Designing Futures: Zukünfte gestalten. 2023, pp. 909-918. DOI: 10.18420/inf2023_102 [local copy (PDF)|BibTeX]
• T. Tietz, O. Bruns, H. Sack: "A Data Model for Linked Stage Graph and the Historical Performing Arts Domain", In Proc. of the International Workshop on Semantic Web and Ontology Design for Cultural Heritage (SWODCH), co-located with ISWC 2023. CEUR WS Vol-3540 in Athens, Greece. [(BibTeX) | (presentation slides)].
• O. Bruns “The Persistence of Temporality: Tracing Time in Cultural Heritage Knowledge Graphs”, Proc. Of the 22nd International Semantic Web Conference, ISWC 2023, Doctoral Consortium, Springer (to be published)
• O. Bruns, T. Tietz, S. Göller, H. Sack: TRANSRAZ Data Model: Towards a Geosocial Representation of Historical Cities, In Knowledge Graphs: Semantics, Machine Learning, and Languages, IOS Press, pp. 161-176, 2023. CC BY 4.0, DOI: 10.3233/SSW230012, [local copy(PDF),bibTeX]
• A. Iana, M. Alam, A. Grote, N. Nikolajevic, K. Ludwig, P. Müller, C. Weinhardt, H. Paulheim: NeMig -- A Bilingual News Collection and Knowledge Graph about Migration. In Proc. of 11th International Workshop on News Recommendation and Analytics, INRIA 2023.
• Y. Chen, R. Biswas, J. Bjerva: Colex2Lang: Language Embeddings from Semantic Typology. In Proc. of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa), 2023, pp 673–684, [BibTeX].
• M. Vafaie, J. Waitelonis, H. Sack: Improvements in Handwritten And Printed Text Separation in Historical Archival Documents. In Proc. of Archiving Conference, 2023, pp 36-41, online at https://doi.org/10.2352/issn.2168-3204.2023.20.1.0 [local copy (PDF)|BibTeX]
• D. Fähle, H. Sack: Ein digitaler Werkzeugkasten für historische Forschung mit Archivgut - Status Quo und Perspektiven, in R. Hering, G. Maier (Eds.): Deuten und streiten, suchen und finden - Neue Möglichkeiten der Kooperation zwischen Archiven und Geschichtswissenschaft beim Aufbau digitaler Infrastrukturen, Werkhefte des Landesarchivs Baden-Württemberg, Heft 29, Jan Thorbecke Verlag, Stuttgart, 2023, pp. 29-46 [local copy (PDF) | (BibTeX)].
• M.Vafaie, J.Dehdari: Speech Recognition for Persian, In: Persian Computational Linguistics and NLP / Marszałek-Kowalewska, Katarzyna (ed.); Berlin, Boston: De Gruyter Mouton, 2023; 258 p.; ISBN 978-3-11-061922-5; The Companions of Iranian Languages and Linguistics [CILL] 2, p. 85-104 DOI: 10.1515/9783110619225-004
• E. Norouzi, J. Waitelonis, H. Sack: Landscape Analysis of Ontologies in Materials Science and Engineering. In Proc. of EUROMAT 2023, [(BibTeX)].
• T. Tietz, O. Bruns, L. Söhn, J. Tolksdorf, E. Posthumus, J.J. Steller, H. Fliegl, E. Norouzi, J. Waitelonis, T. Schrade, H. Sack: From Floppy Disks to 5-Star LOD: FAIR Research Infrastructure for NFDI4Culture. In Proc. of 3rd Workshop on Metadata and Research (objects) Management for Linked Open Science - DaMaLOS 2023. [local copy (PDF) | (BibTeX) | (presentation slides)].
• C. Santini, E. Posthumus, T. Tietz, M. A. Tan, O. Bruns, H. Sack: Multimodal Search on Iconclass using Vision-Language Pre-Trained Models. In Proc. of JCDL 2023, pp. 285-287, online at https://doi.org/10.1109/JCDL57899.2023.00061. [local copy (PDF)|BibTex].
• T. Tietz, O. Bruns, H. Fliegl, E. Posthumus, T. Schrade, H. Sack: Knowledge Graph-basierte Forschungsdatenintegration in NFDI4Culture. In Proc. of the DHd 2023, Open Humanities Open Culture, 9. Tagung des Verbands Digital Humanities im deutschsprachigen Raum. DOI: 10.5281/zenodo.7748740, [local copy (PDF) | (BibTeX)].
• K. Ludwig, A. Grote, A. Iana, M. Alam, H. Paulheim, H. Sack, C. Weinhardt, P. Müller: Divided by the Algorithm? The (Limited) Effects of Content- and Sentiment-Based News Recommendation on Affective, Ideological, and Perceived Polarization. Social Science Computer Review, 2023. DOI: 10.1177/08944393221149290, [local copy (PDF) | (BibTeX)].

further volumes