@inproceedings{63544,
author = {{Schreiner, Nick and Trienens, Malte and Kürpick, Christian and Asmar, Laban and Dumitrescu, Roman}},
booktitle = {{2025 IEEE European Technology and Engineering Management Summit (E-TEMS)}},
publisher = {{IEEE}},
title = {{{Product Decarbonization From an Engineering Perspective: Drawing Insights From Industry}}},
doi = {{10.1109/e-tems64751.2025.11239319}},
year = {{2025}},
}
@inproceedings{63572,
author = {{Demir, Caglar and Yekini, Moshood Olawale and Röder, Michael and Mahmood, Yasir and Ngonga Ngomo, Axel-Cyrille}},
booktitle = {{Lecture Notes in Computer Science}},
isbn = {{9783032060655}},
issn = {{0302-9743}},
location = {{Porto}},
publisher = {{Springer Nature Switzerland}},
title = {{{Tree-Based OWL Class Expression Learner over Large Graphs}}},
doi = {{10.1007/978-3-032-06066-2_29}},
year = {{2025}},
}
@inproceedings{63575,
author = {{Kapoor, Sourabh and Sharma, Arnab and Röder, Michael and Demir, Caglar and Ngonga Ngomo, Axel-Cyrille}},
booktitle = {{Lecture Notes in Computer Science}},
isbn = {{9783031945748}},
issn = {{0302-9743}},
publisher = {{Springer Nature Switzerland}},
title = {{{Robustness Evaluation of Knowledge Graph Embedding Models Under Non-targeted Attacks}}},
doi = {{10.1007/978-3-031-94575-5_15}},
year = {{2025}},
}
@inproceedings{63573,
author = {{Memariani, Adel and Röder, Michael and Sharma, Arnab and Demir, Caglar and Ngonga Ngomo, Axel-Cyrille}},
booktitle = {{Lecture Notes in Computer Science}},
isbn = {{9783032095268}},
issn = {{0302-9743}},
publisher = {{Springer Nature Switzerland}},
title = {{{Link Prediction Under Non-targeted Attacks: Do Soft Labels Always Help?}}},
doi = {{10.1007/978-3-032-09527-5_6}},
year = {{2025}},
}
@inproceedings{63574,
author = {{Zhang, Quannian and Röder, Michael and Srivastava, Nikit and KOUAGOU, N'Dah Jean and Ngonga Ngomo, Axel-Cyrille}},
booktitle = {{Proceedings of the Knowledge Capture Conference 2025}},
publisher = {{ACM}},
title = {{{Explainable Benchmarking through the Lense of Concept Learning}}},
doi = {{10.1145/3731443.3771359}},
year = {{2025}},
}
@book{58549,
abstract = {{ Die Publikation richtet sich an Industrieunternehmen und Forschende, die an der Nutzung von Gaia-X für die industrielle Produktion interessiert sind. Sie vereint die Ergebnisse der Forschungsprojekte COSMIC-X, DIONE-X, Fed-X-Pro, GRIPSS-X und URANOS-X, die zur Entwicklung von Anwendungsszenarien für Gaia-X-konforme Datenökosysteme beigetragen haben. Ziel ist es, insbesondere mittelständische Unternehmen in die Lage zu versetzten, souverän Datenräume zu nutzen, um die digitale Transformation voranzutreiben und ihre Wettbewerbsfähigkeit zu steigern. Wichtige Technologien sind dabei Blockchain, Self-Sovereign Identity (SSI) und die Asset Administration Shell (AAS). Die Projektergebnisse stärken die Innovationskraft und eröffnen neue Geschäftsmodelle in der Industrie 4.0. Inhaltsverzeichnis Abstract VII 1 Einleitung 1 1.1 Gaia-X – Chance fur die industrielle Produktion . . . . . . . . . . . . . . . ü 1 1.1.1 Mü oglichkeiten von Gaia-X in der industriellen Produktion . . . . . 4 1.1.2 Die aktuelle Projektlandschaft . . . . . . . . . . . . . . . . . . . . . 7 1.2 Die InGAIA-X Fü orderlinie . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 1.2.1 Die Projekte . . . . . ...
}},
author = {{Dumitrescu, Roman and Riedel, Oliver and Henke, Michael and Metternich, Joachim and Ihlenfeldt, Steffen and Koldewey, Christian}},
isbn = {{9783186204165}},
publisher = {{VDI Verlag}},
title = {{{Gaia-X in industriellen Wertschöpfungsnetzwerken – Erkenntnisse aus der Förderlinie InGAIA-X}}},
doi = {{10.51202/9783186204165}},
year = {{2025}},
}
@article{58558,
author = {{Carayannis, Elias G. and Dumitrescu, Roman and Falkowski, Tommy and Papamichail, George and Zota, Nikos - Rigert}},
issn = {{0160-791X}},
journal = {{Technology in Society}},
publisher = {{Elsevier BV}},
title = {{{Enhancing SME Resilience through Artificial Intelligence and Strategic Foresight: A Framework for Sustainable Competitiveness}}},
doi = {{10.1016/j.techsoc.2025.102835}},
year = {{2025}},
}
@inproceedings{58840,
author = {{Bucchiarone, Antonio and Bonetti, Federico and Yigitbas, Enes}},
booktitle = {{Proceedings of the 20th International Conference on Software Engineering for Adaptive and Self-Managing Systems (SEAMS 2025)}},
publisher = {{IEEE}},
title = {{{Leveraging Self-Adaptive Systems and Generative AI for Personalizing Educational Serious Games: Architecture and Future Challenges}}},
year = {{2025}},
}
@inproceedings{58839,
author = {{Schlenker, Julian and Vater, Hendrik and Yigitbas, Enes and Dann, Alexander}},
booktitle = {{Proceedings of the 27th International Conference on Human-Computer Interaction (HCII 2025)}},
publisher = {{Springer}},
title = {{{Seamless Augmented Reality Support for a Computer-Assisted Surgery System for Minimally Invasive Orthopedic Surgeries}}},
year = {{2025}},
}
@inproceedings{58835,
author = {{Schmidt, Leonard and Yigitbas, Enes}},
booktitle = {{Proceedings of the 18th International Conference on PErvasive Technologies Related to Assistive Environments (PETRA 2025)}},
publisher = {{ACM}},
title = {{{Taxonomy and Analysis of Security Vulnerabilities, Privacy Violations and Potential Mitigation Strategies to XR Systems}}},
year = {{2025}},
}
@inproceedings{58836,
author = {{Yigitbas, Enes and Karch, Julian }},
booktitle = {{Proceedings of the 18th International Conference on PErvasive Technologies Related to Assistive Environments (PETRA 2025)}},
publisher = {{ACM}},
title = {{{Immersive Smart Home Planning and Automation with Mixed Reality and Digital Twin Technologies}}},
year = {{2025}},
}
@inproceedings{58837,
author = {{Yigitbas, Enes and Karch, Julian}},
booktitle = {{Proceedings of the 18th International Conference on PErvasive Technologies Related to Assistive Environments (PETRA 2025)}},
publisher = {{ACM}},
title = {{{Augmented Reality-Assisted Assessment of Workplace Ergonomy}}},
year = {{2025}},
}
@inproceedings{58838,
author = {{Geil, Manuel and Wübbeke, Andreas and Yigitbas, Enes}},
booktitle = {{Proceedings of the 27th International Conference on Human-Computer Interaction (HCII 2025)}},
publisher = {{Springer}},
title = {{{Blackbox Unit Testing of Virtual Reality Applications}}},
year = {{2025}},
}
@inproceedings{59019,
abstract = {{To facilitate the growing demand for a universal means of digital identification across services, while preserving user control and privacy, multiple digital identity implementations have emerged. From a technical perspective, many of these rely on established concepts within cryptography, allowing them to provide benefits in terms of security and privacy. Recent legislation also promises broader recognition and acceptance of digital identities, both in the digital world and beyond. However, research into the usability, accessibility, and user understanding of digital identities is rare. We argue that the development of usable digital identity wallets is vital to the successful and inclusive application of digital identities in society. In this vision paper, we describe our research plans for obtaining a better understanding of how to develop these usable digital identities wallets.}},
author = {{Last, Yorick and Arias Cabarcos, Patricia}},
booktitle = {{Symposium on Usable Security and Privacy (USEC) 2025}},
isbn = {{979-8-9919276-5-9}},
location = {{San Diego, U.S.A.}},
title = {{{Vision: Towards True User-Centric Design for Digital Identity Wallets}}},
year = {{2025}},
}
@inproceedings{60219,
author = {{Vermetten, Diederick and Rook, Jeroen and Preuß, Oliver Ludger and de Nobel, Jacob and Doerr, Carola and López-Ibáñez, Manuel and Trautmann, Heike and Bäck, Thomas}},
booktitle = {{Evolutionary Multi-Criterion Optimization - 13th International Conference, EMO 2025, Canberra, ACT, Australia, March 4-7, 2025, Proceedings, Part I}},
editor = {{Singh, Hemant K. and Ray, Tapabrata and Knowles, Joshua D. and Li, Xiaodong and Branke, Juergen and Wang, Bing and Oyama, Akira}},
pages = {{242–256}},
publisher = {{Springer}},
title = {{{MO-IOHinspector: Anytime Benchmarking of Multi-objective Algorithms Using IOHprofiler}}},
doi = {{10.1007/978-981-96-3506-1_17}},
volume = {{15512}},
year = {{2025}},
}
@article{60220,
author = {{Seiler, Moritz and Kerschke, Pascal and Trautmann, Heike}},
journal = {{Evolutionary Computation}},
pages = {{1--27}},
title = {{{Deep-ELA: Deep Exploratory Landscape Analysis with Self-Supervised Pretrained Transformers for Single- and Multi-Objective Continuous Optimization Problems }}},
doi = {{https://doi.org/10.1162/evco_a_00367}},
year = {{2025}},
}
@inproceedings{59804,
author = {{Jungemann, Linus and Wintermann, Bjarne and Riebler, Heinrich and Plessl, Christian}},
booktitle = {{Proceedings of the 15th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies}},
location = {{Kumamoto, Japan}},
publisher = {{ACM}},
title = {{{FINN-HPC: Closing the Gap for Energy-Efficient Neural Network Inference on FPGAs in HPC}}},
doi = {{10.1145/3728179.3728189}},
year = {{2025}},
}
@article{60357,
abstract = {{Transcripts play a crucial role in qualitative research in computing education, with significant implications for the credibility and reproducibility of findings. However, unreflective and inconsistent transcription standards may unintentionally introduce biases, potentially undermining the validity of research outcomes and the collective progress of the field. In this article, we introduce transcription as a theoretically guided process rather than a mere preparatory step, illustrating its role using a case example. Additionally, through a systematic review of 107 qualitative research articles in computing education, we identify widespread shortcomings in the reporting and implementation of transcription practices, revealing a need for greater intentionality and transparency. To address these challenges, we propose a three-step framework for selecting, applying, and documenting transcription standards that align with the specific context and goals of a study. Rather than advocating for overly complex, one-size-fits-all transcription strategies, we emphasize the importance of a context-appropriate approach that is clearly communicated to foster trust and reproducibility. By advancing a more robust transcription culture, this work aims to support computing education researchers in adopting standards that enhance the quality and reliability of qualitative research in the field.}},
author = {{Terfloth, Lutz and Lohmer, Vivien and Kern, Friederike and Schulte, Carsten}},
issn = {{1648-5831}},
journal = {{Informatics in Education}},
publisher = {{Vilnius University Press}},
title = {{{Transcription in Computing Education Research: A Review and Recommendations}}},
doi = {{10.15388/infedu.2025.09}},
year = {{2025}},
}
@article{60496,
abstract = {{Hypertree decompositions provide a way to evaluate Conjunctive Queries (CQs) in polynomial time, where the exponent of this polynomial is determined by the width of the decomposition. In theory, the goal of efficient CQ evaluation therefore has to be a minimisation of the width. However, in practical settings, it turns out that there are also other properties of a decomposition that influence the performance of query evaluation. It is therefore of interest to restrict the computation of decompositions by constraints and to guide this computation by preferences. To this end, we propose a novel framework based on candidate tree decompositions, which allows us to introduce soft hypertree width (shw). This width measure is a relaxation of hypertree width (hw); it is never greater than hw and, in some cases, shw may actually be lower than hw. Most importantly, shw preserves the tractability of deciding if a given CQ is below some fixed bound, while offering more algorithmic flexibility. In particular, it provides a natural way to incorporate preferences and constraints into the computation of decompositions. A prototype implementation and preliminary experiments confirm that this novel framework can indeed have a practical impact on query evaluation.}},
author = {{Lanzinger, Matthias and Okulmus, Cem and Pichler, Reinhard and Selzer, Alexander and Gottlob, Georg}},
issn = {{2836-6573}},
journal = {{Proceedings of the ACM on Management of Data}},
location = {{Berlin}},
number = {{2}},
pages = {{1--25}},
publisher = {{Association for Computing Machinery (ACM)}},
title = {{{Soft and Constrained Hypertree Width}}},
doi = {{10.1145/3725251}},
volume = {{3}},
year = {{2025}},
}
@inproceedings{60497,
abstract = {{Despite the advantages that the virtual knowledge graph paradigm has brought to many application domains, state-of-the-art systems still do not support popular graph database management systems like Neo4j. Their query rewriting algorithms focus on languages like conjunctive queries and their unions, which were developed for relational data and are poorly suited for graph data. Moreover, they also limit the expressiveness of the ontology languages that admit rewritings, restricting them to those that enjoy the so-called FO-rewritability property. Rewritings have thus focused on the DL-Lite family of Description Logics. In this paper, we propose a technique for rewriting a family of navigational queries for a suitably tailored fragment of ELHI. Leveraging navigational features in the target query language, we can include some widely-used axiom shapes not supported by DL-Lite. We implemented a proof-of-concept prototype that rewrites into Cypher queries, and tested it on a real-world cognitive neuroscience use case with promising results.}},
author = {{Löhnert, Bianca and Augsten, Nikolaus and Okulmus, Cem and Ortiz, Magdalena}},
booktitle = {{The Semantic Web - 22nd European Semantic Web Conference, {ESWC} 2025, Portoroz, Slovenia, June 1-5, 2025, Proceedings, Part {I}}},
isbn = {{9783031945748}},
issn = {{0302-9743}},
keywords = {{Ontology-based Data Access, Property Graphs, Navigational Queries}},
location = {{Portorož, Slovenia}},
pages = {{342----361}},
publisher = {{Springer Nature Switzerland}},
title = {{{Towards Practicable Algorithms for Rewriting Graph Queries Beyond DL-Lite}}},
doi = {{10.1007/978-3-031-94575-5_19}},
volume = {{15718}},
year = {{2025}},
}