@inbook{46516, abstract = {{Linked knowledge graphs build the backbone of many data-driven applications such as search engines, conversational agents and e-commerce solutions. Declarative link discovery frameworks use complex link specifications to express the conditions under which a link between two resources can be deemed to exist. However, understanding such complex link specifications is a challenging task for non-expert users of link discovery frameworks. In this paper, we address this drawback by devising NMV-LS, a language model-based verbalization approach for translating complex link specifications into natural language. NMV-LS relies on the results of rule-based link specification verbalization to apply continuous training on T5, a large language model based on the Transformerarchitecture. We evaluated NMV-LS on English and German datasets using well-known machine translation metrics such as BLUE, METEOR, ChrF++ and TER. Our results suggest that our approach achieves a verbalization performance close to that of humans and outperforms state of the art approaches. Our source code and datasets are publicly available at https://github.com/dice-group/NMV-LS.}}, author = {{Ahmed, Abdullah Fathi Ahmed and Firmansyah, Asep Fajar and Sherif, Mohamed and Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille}}, booktitle = {{Natural Language Processing and Information Systems}}, isbn = {{9783031353192}}, issn = {{0302-9743}}, publisher = {{Springer Nature Switzerland}}, title = {{{Explainable Integration of Knowledge Graphs Using Large Language Models}}}, doi = {{10.1007/978-3-031-35320-8_9}}, year = {{2023}}, } @inproceedings{46522, author = {{Vogelsang, Christoph and Janzen, Thomas and Meier, Jana and Wotschel, Philipp}}, location = {{Potsdam}}, title = {{{„Die Prüfungen werden mich sicherlich nicht zu einer besseren Lehrkraft machen.“ Wie beurteilen Studierende Prüfungen und Feedback im Lehramtsstudium?}}}, year = {{2023}}, } @inproceedings{46524, author = {{Wotschel, Philipp and Vogelsang, Christoph and Janzen, Thomas and Meier, Jana}}, location = {{Potsdam}}, title = {{{Als Lehrkraft gut beraten? Entwicklung und Erprobung eines handlungsnahen Prüfungsformates zur Erfassung von Beratungskompetenz von Lehramtsstudierenden}}}, year = {{2023}}, } @inproceedings{46518, abstract = {{Purpose: This study addresses the limitations of current short abstracts of DBpedia entities, which often lack a comprehensive overview due to their creating method (i.e., selecting the first two-three sentences from the full DBpedia abstracts). Methodology: We leverage pre-trained language models to generate abstractive summaries of DBpedia abstracts in six languages (English, French, German, Italian, Spanish, and Dutch). We performed several experiments to assess the quality of generated summaries by language models. In particular, we evaluated the generated summaries using human judgments and automated metrics (Self-ROUGE and BERTScore). Additionally, we studied the correlation between human judgments and automated metrics in evaluating the generated summaries under different aspects: informativeness, coherence, conciseness, and fluency. Findings: Pre-trained language models generate summaries more concise and informative than existing short abstracts. Specifically, BART-based models effectively overcome the limitations of DBpedia short abstracts, especially for longer ones. Moreover, we show that BERTScore and ROUGE-1 are reliable metrics for assessing the informativeness and coherence of the generated summaries with respect to the full DBpedia abstracts. We also find a negative correlation between conciseness and human ratings. Furthermore, fluency evaluation remains challenging without human judgment. Value: This study has significant implications for various applications in machine learning and natural language processing that rely on DBpedia resources. By providing succinct and comprehensive summaries, our approach enhances the quality of DBpedia abstracts and contributes to the semantic web community}}, author = {{Zahera, Hamada Mohamed Abdelsamee and Vitiugin, Fedor and Sherif, Mohamed and Castillo, Carlos and Ngonga Ngomo, Axel-Cyrille}}, booktitle = {{SEMANTiCS}}, keywords = {{dice enexa kiam ngonga porque sherif zahera}}, location = {{Leipzig, Germany}}, title = {{{Using Pre-trained Language Models for Abstractive DBpedia Summarization: A Comparative Study}}}, year = {{2023}}, } @misc{45558, abstract = {{Graffiti is an urban phenomenon that is increasingly attracting the interest of the sciences. To the best of our knowledge, no suitable data corpora are available for systematic research until now. The Information System Graffiti in Germany project (Ingrid) closes this gap by dealing with graffiti image collections that have been made available to the project for public use. Within Ingrid, the graffiti images are collected, digitized and annotated. With this work, we aim to support the rapid access to a comprehensive data source on Ingrid targeted especially by researchers. In particular, we present IngridKG, an RDF knowledge graph of annotated graffiti, abides by the Linked Data and FAIR principles. We weekly update IngridKG by augmenting the new annotated graffiti to our knowledge graph. Our generation pipeline applies RDF data conversion, link discovery and data fusion approaches to the original data. The current version of IngridKG contains 460,640,154 triples and is linked to 3 other knowledge graphs by over 200,000 links. In our use case studies, we demonstrate the usefulness of our knowledge graph for different applications.}}, author = {{Sherif, Mohamed and Morim da Silva, Ana Alexandra and Pestryakova, Svetlana and Ahmed, Abdullah Fathi Ahmed and Niemann, Sven and Ngonga Ngomo, Axel-Cyrille}}, publisher = {{LibreCat University}}, title = {{{IngridKG: A FAIR Knowledge Graph of Graffiti}}}, doi = {{10.5281/ZENODO.7560242}}, year = {{2023}}, } @article{46542, abstract = {{Multiprotein adsorption from complex body fluids represents a highly important and complicated phenomenon in medicine. In this work, multiprotein adsorption from diluted human serum at gold and oxidized iron surfaces is investigated at different serum concentrations and pH values. Adsorption-induced changes in surface topography and the total amount of adsorbed proteins are quantified by atomic force microscopy (AFM) and polarization-modulation infrared reflection absorption spectroscopy (PM-IRRAS), respectively. For both surfaces, stronger protein adsorption is observed at pH 6 compared to pH 7 and pH 8. PM-IRRAS furthermore provides some qualitative insights into the pH-dependent alterations in the composition of the adsorbed multiprotein films. Changes in the amide II/amide I band area ratio and in particular side-chain IR absorption suggest that the increased adsorption at pH 6 is accompanied by a change in protein film composition. Presumably, this is mostly driven by the adsorption of human serum albumin, which at pH 6 adsorbs more readily and thereby replaces other proteins with lower surface affinities in the resulting multiprotein film.}}, author = {{Huang, Jingyuan and Qiu, Yunshu and Lücke, Felix and Su, Jiangling and Grundmeier, Guido and Keller, Adrian}}, issn = {{1420-3049}}, journal = {{Molecules}}, keywords = {{Chemistry (miscellaneous), Analytical Chemistry, Organic Chemistry, Physical and Theoretical Chemistry, Molecular Medicine, Drug Discovery, Pharmaceutical Science}}, number = {{16}}, publisher = {{MDPI AG}}, title = {{{Multiprotein Adsorption from Human Serum at Gold and Oxidized Iron Surfaces Studied by Atomic Force Microscopy and Polarization-Modulation Infrared Reflection Absorption Spectroscopy}}}, doi = {{10.3390/molecules28166060}}, volume = {{28}}, year = {{2023}}, } @article{46543, abstract = {{The influence of nanoscale surface topography on protein adsorption is highly important for numerous applications in medicine and technology. Herein, ferritin adsorption at flat and nanofaceted, single-crystalline Al2O3 surfaces is investigated using atomic force microscopy and X-ray photoelectron spectroscopy. The nanofaceted surfaces are generated by the thermal annealing of Al2O3 wafers at temperatures above 1000 °C, which leads to the formation of faceted saw-tooth-like surface topographies with periodicities of about 160 nm and amplitudes of about 15 nm. Ferritin adsorption at these nanofaceted surfaces is notably suppressed compared to the flat surface at a concentration of 10 mg/mL, which is attributed to lower adsorption affinities of the newly formed facets. Consequently, adsorption is restricted mostly to the pattern grooves, where the proteins can maximize their contact area with the surface. However, this effect depends on the protein concentration, with an inverse trend being observed at 30 mg/mL. Furthermore, different ferritin adsorption behavior is observed at topographically similar nanofacet patterns fabricated at different annealing temperatures and attributed to different step and kink densities. These results demonstrate that while protein adsorption at solid surfaces can be notably affected by nanofacet patterns, fine-tuning protein adsorption in this way requires the precise control of facet properties.}}, author = {{Pothineni, Bhanu K. and Kollmann, Sabrina and Li, Xinyang and Grundmeier, Guido and Erb, Denise J. and Keller, Adrian}}, issn = {{1422-0067}}, journal = {{International Journal of Molecular Sciences}}, keywords = {{Inorganic Chemistry, Organic Chemistry, Physical and Theoretical Chemistry, Computer Science Applications, Spectroscopy, Molecular Biology, General Medicine, Catalysis}}, number = {{16}}, publisher = {{MDPI AG}}, title = {{{Adsorption of Ferritin at Nanofaceted Al2O3 Surfaces}}}, doi = {{10.3390/ijms241612808}}, volume = {{24}}, year = {{2023}}, } @inproceedings{46459, author = {{Kouagou, N’Dah Jean and Heindorf, Stefan and Demir, Caglar and Ngomo, Axel-Cyrille Ngonga}}, booktitle = {{NeSy}}, pages = {{430–431}}, publisher = {{CEUR-WS.org}}, title = {{{Neural Class Expression Synthesis (Extended Abstract)}}}, volume = {{3432}}, year = {{2023}}, } @inbook{46572, abstract = {{Indonesian is classified as underrepresented in the Natural Language Processing (NLP) field, despite being the tenth most spoken language in the world with 198 million speakers. The paucity of datasets is recognized as the main reason for the slow advancements in NLP research for underrepresented languages. Significant attempts were made in 2020 to address this drawback for Indonesian. The Indonesian Natural Language Understanding (IndoNLU) benchmark was introduced alongside IndoBERT pre-trained language model. The second benchmark, Indonesian Language Evaluation Montage (IndoLEM), was presented in the same year. These benchmarks support several tasks, including Named Entity Recognition (NER). However, all NER datasets are in the public domain and do not contain domain-specific datasets. To alleviate this drawback, we introduce IndQNER, a manually annotated NER benchmark dataset in the religious domain that adheres to a meticulously designed annotation guideline. Since Indonesia has the world’s largest Muslim population, we build the dataset from the Indonesian translation of the Quran. The dataset includes 2475 named entities representing 18 different classes. To assess the annotation quality of IndQNER, we perform experiments with BiLSTM and CRF-based NER, as well as IndoBERT fine-tuning. The results reveal that the first model outperforms the second model achieving 0.98 F1 points. This outcome indicates that IndQNER may be an acceptable evaluation metric for Indonesian NER tasks in the aforementioned domain, widening the research’s domain range.}}, author = {{Gusmita, Ria Hari and Firmansyah, Asep Fajar and Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille}}, booktitle = {{Natural Language Processing and Information Systems}}, isbn = {{9783031353192}}, issn = {{0302-9743}}, location = {{Derby, UK}}, publisher = {{Springer Nature Switzerland}}, title = {{{IndQNER: Named Entity Recognition Benchmark Dataset from the Indonesian Translation of the Quran}}}, doi = {{10.1007/978-3-031-35320-8_12}}, year = {{2023}}, } @article{46569, abstract = {{AbstractExternal visualization (i.e., physically embodied visualization) is central to the teaching and learning of mathematics. As external visualization is an important part of mathematics at all levels of education, it is diverse, and research on external visualization has become a wide and complex field. The aim of this scoping review is to characterize external visualizations in recent mathematics education research in order to develop a common ground and guide future research. A qualitative content analysis of the full texts of 130 studies published between 2018 and 2022 applied a deductive-inductive coding procedure to assess four dimensions: visualization product or process, type of visualization, media, and purpose. The analysis revealed different types of external visualizations including visualizations with physical resemblance ranging from pictorial to abstract visualizations as well as three types of visualizations with structural resemblance: length, area, and relational visualizations. Future research should include measures of visualization products or processes to help explain the demands and affordances that different types of visualizations present to learners and teachers.}}, author = {{Schoenherr, Johanna and Schukajlow, Stanislaw}}, issn = {{1863-9690}}, journal = {{ZDM – Mathematics Education}}, keywords = {{General Mathematics, Education}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Characterizing external visualization in mathematics education research: a scoping review}}}, doi = {{10.1007/s11858-023-01494-3}}, year = {{2023}}, } @inbook{46560, author = {{Vochatzer, Stefanie}}, booktitle = {{Creative Approaches to Climate and Peace Education. An Educationr’s Guide to Using Storytelling and Art}}, editor = {{Bentz , Julia }}, pages = {{48}}, publisher = {{Leibniz Insitute for Educational Media, Georg Eckert Institute}}, title = {{{My first contact with the Foodsharing Initiative}}}, year = {{2023}}, } @techreport{46534, abstract = {{We study the effect of education on health (hospital stays, number of diagnosed conditions, self-rated poor health, and obesity) over the life-cycle in Germany, using compulsory schooling reforms as a source of exogenous variation. Our results suggest a positive correlation of health and education which increases over the life-cycle. We do not, however, find any positive local average treatment effects of an additional year of schooling on health or health care utilization for individuals up to age 79. An exception is obesity, where positive effects of schooling start to be visible around age 60 and become very large in age group 75-79. The results in age group 75-79 need to be interpreted with caution, however, due to small sample size and possible problems of attrition.}}, author = {{Schmitz, Hendrik and Tawiah, Beatrice Baaba}}, keywords = {{Education, health, life-cycle effects, compulsory schooling}}, publisher = {{RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen}}, title = {{{Life-cycle health effects of compulsory schooling}}}, volume = {{1006}}, year = {{2023}}, } @inproceedings{46575, author = {{Baci, Alkid and Heindorf, Stefan}}, booktitle = {{CIKM}}, title = {{{Accelerating Concept Learning via Sampling}}}, year = {{2023}}, } @techreport{46521, author = {{Freise, Diana and Schiele, Valentin and Schmitz, Hendrik}}, issn = {{1556-5068}}, keywords = {{General Earth and Planetary Sciences, General Environmental Science}}, publisher = {{Elsevier BV}}, title = {{{Housing Situations and Local COVID-19 Infection Dynamics – A Case Study With Small-Area Data}}}, doi = {{10.2139/ssrn.4372490}}, year = {{2023}}, } @unpublished{46579, abstract = {{The Koopman operator has become an essential tool for data-driven analysis, prediction and control of complex systems, the main reason being the enormous potential of identifying linear function space representations of nonlinear dynamics from measurements. Until now, the situation where for large-scale systems, we (i) only have access to partial observations (i.e., measurements, as is very common for experimental data) or (ii) deliberately perform coarse graining (for efficiency reasons) has not been treated to its full extent. In this paper, we address the pitfall associated with this situation, that the classical EDMD algorithm does not automatically provide a Koopman operator approximation for the underlying system if we do not carefully select the number of observables. Moreover, we show that symmetries in the system dynamics can be carried over to the Koopman operator, which allows us to massively increase the model efficiency. We also briefly draw a connection to domain decomposition techniques for partial differential equations and present numerical evidence using the Kuramoto--Sivashinsky equation.}}, author = {{Peitz, Sebastian and Harder, Hans and Nüske, Feliks and Philipp, Friedrich and Schaller, Manuel and Worthmann, Karl}}, booktitle = {{arXiv:2307.15325}}, title = {{{Partial observations, coarse graining and equivariance in Koopman operator theory for large-scale dynamical systems}}}, year = {{2023}}, } @techreport{46536, abstract = {{We study the effect of education on vaccination against COVID-19 and influenza in Germany and Europe. Our identification strategy makes use of changes in compulsory schooling laws and allows to estimate local average treatment effects for individuals between 59 and 91 years of age. We find no significant effect of an additional year of schooling on vaccination status in Germany. Pooling data from Europe, we conclude that schooling increases the likelihood to vaccinate against COVID by an economically negligible effect of one percentage point (zero for influenza). However, we find indications that additional schooling increases fear of side effects from COVID vaccination.}}, author = {{Monsees, Daniel and Schmitz, Hendrik}}, keywords = {{COVID, influenza, vaccination, education, compulsory schooling}}, publisher = {{RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen}}, title = {{{The effect of compulsory schooling on vaccination against COVID and Influenza}}}, volume = {{1011}}, year = {{2023}}, } @inproceedings{46426, abstract = {{One of the main challenges for next generation automotive radars is the improvement of angular resolution to a sub-degree level. In this context, wide aperture automotive radars of 1m length or more and resolution close to 0.1° in azimuth and 0.5° in elevation could be beneficial. To enable coherent processing of arrays with such large aperture, prior (i.e offline) and online calibration are necessary: channel imbalances (gains and phases) and three dimensional coordinates of transmit and receive elements need to be determined. We propose a calibration strategy based on alternating steps between the two subtasks of i) channel imbalance estimation with ‘known’ array positions, by applying a singular value decomposition to the resulting tensor calculus problem; and ii) antenna position estimation with ’known’ channel imbalances, by numerically maximizing the Bayesian posterior probability; in both cases operating on range/Doppler snapshots of disjoint targets (with potentially unknown locations). Simulation studies based on the parameters of a MIMO 8x6 linear sparse array show promising results as long as the initial position errors do not exceed half a wavelength (2mm), beyond which we observe strong effects of ambiguity. Experimental results with real measurements show that after calibration in laboratory conditions, our MIMO 8x6 demonstrator with 50cm aperture is able to resolve two targets at the same range with angular separation at least as close as 0.4°.}}, author = {{Greiff, Christian and Mateos-Núñez, David and Simoni, Renato and González-Huici, Maria and Kruse, Stephan and Scheytt, J. Christoph and Kolk, Karl and Höller, Christian and Kurz, Heiko Gustav and Meinecke, Marc-Michael and Gisder, Thomas}}, booktitle = {{2023 24th International Radar Symposium (IRS)}}, location = {{Berlin, Germany}}, publisher = {{IEEE}}, title = {{{Calibration of Large Coherent MIMO Radar Arrays: Channel Imbalances and 3D Antenna Positions}}}, doi = {{10.23919/IRS57608.2023.10172475}}, year = {{2023}}, } @inproceedings{42459, author = {{Ostermann, Moritz and Behm, Jonathan and Marten, Thorsten and Tröster, Thomas}}, booktitle = {{WerkstoffPlus Auto 13. Fachtagung für neue Fahrzeug- und Werkstoffkonzepte}}, location = {{Stuttgart}}, title = {{{NeMo.bil - Dekarbonisierung des Verkehrs mithilfe von Leichtbau-Fahrzeugschwärmen}}}, year = {{2023}}, } @article{45984, author = {{Kaur, Mannat and Ramulu, Harshini Sri and Acar, Yasemin and Fiebig, Tobias}}, journal = {{Proc. ACM Hum. Comput. Interact.}}, number = {{CSCW1}}, pages = {{1–38}}, title = {{{"Oh yes! over-preparing for meetings is my jam :)": The Gendered Experiences of System Administrators}}}, doi = {{10.1145/3579617}}, volume = {{7}}, year = {{2023}}, } @article{45983, author = {{Bouma-Sims, Elijah and Acar, Yasemin}}, journal = {{Proc. ACM Hum. Comput. Interact.}}, number = {{CSCW1}}, pages = {{1–31}}, title = {{{Beyond the Boolean: How Programmers Ask About, Use, and Discuss Gender}}}, doi = {{10.1145/3579461}}, volume = {{7}}, year = {{2023}}, }