@article{46294, author = {{Tondeur, J and Petko, D and Christensen, R and Starkey, L and Drossel, Kerstin and Eichhorn, K and Schmidt-Crawford, D and Knezek, D}}, journal = {{Educational Technology Research and Development}}, pages = {{2187--2208}}, title = {{{Quality Criteria for Conceptual Technology Integration Models in Education: Bridging Research and Practice. Educational Technology Research and Development}}}, doi = {{. doi.org/10.1007/s11423-020-09911-0}}, year = {{2021}}, } @inproceedings{29219, abstract = {{We demonstrate for the first time, to the best of our knowledge, reconfigurable and real-time orthogonal time-domain demultiplexing of coherent multilevel Nyquist signals in silicon photonics. No external pulse source is needed and frequencytime coherence is used to sample the incoming Nyquist OTDM signal with orthogonal sinc-shaped Nyquist pulse sequences using Mach-Zehnder modulators. All the parameters such as bandwidth and channel selection are completely tunable in the electrical domain. The feasibility of this scheme is demonstrated through a demultiplexing experiment over the entire C-band (1530 nm - 1550 nm), employing 24 Gbaud Nyquist QAM signals due to experimental constraints on the transmitter side. However, the silicon Mach-Zehnder modulator with a 3-dB bandwidth of only 16 GHz can demultiplex Nyquist pulses of 90 GHz optical bandwidth suggesting a possibility to reach symbol rates up to 90 GBd in an integrated Nyquist transceiver. }}, author = {{Misra, Arijit and Singh, Karanveer and Meier, Janosch and Kress, Christian and Schwabe, Tobias and Preussler, Stefan and Scheytt, J. Christoph and Schneider, Thomas}}, booktitle = {{Electrical Engineering and Systems Science}}, title = {{{Reconfigurable and Real-Time Nyquist OTDM Demultiplexing in Silicon Photonics}}}, doi = {{https://doi.org/10.1364/OE.454163}}, year = {{2021}}, } @inproceedings{33545, author = {{Elsner, Julia and Tenberge, Claudia and Fechner, Sabine}}, booktitle = {{Naturwissenschaftlicher Unterricht und Lehrerbildung im Umbruch?}}, editor = {{Habig, Sebastian}}, pages = {{609--612}}, title = {{{Unterstützung des Modellierungsprozesses durch Analogiebildung im Sachunterricht}}}, volume = {{41}}, year = {{2021}}, } @article{29004, abstract = {{The Linked Data paradigm builds upon the backbone of distributed knowledge bases connected by typed links. The mere volume of current knowledge bases as well as their sheer number pose two major challenges when aiming to support the computation of links across and within them. The first is that tools for link discovery have to be time-efficient when they compute links. Secondly, these tools have to produce links of high quality to serve the applications built upon Linked Data well. Solutions to the second problem build upon efficient computational approaches developed to solve the first and combine these with dedicated machine learning techniques. The current version of the LIMES framework is the product of seven years of research on these two challenges. A series of machine learning techniques and efficient computation approaches were developed and integrated into this framework to address the link discovery problem. The framework combines these diverse algorithms within a generic and extensible architecture. In this article, we give an overview of version 1.7.4 of the open-source release of the framework. In particular, we focus on an overview of the architecture of the framework, an intuition of its inner workings and a brief overview of the approaches it contains. Some descriptions of the applications within which the framework was used complete the paper. Our framework is open-source and available under a GNU license at https: //github.com/dice-group/LIMES together with a user manual and a developer manual.}}, author = {{Ngonga Ngomo, Axel-Cyrille and Sherif, Mohamed and Georgala, Kleanthi and Hassan, Mofeed and Dreßler, Kevin and Lyko, Klaus and Obraczka, Daniel and Soru, Tommaso}}, journal = {{KI - K{\"u}nstliche Intelligenz, German Journal of Artificial Intelligence - Organ des Fachbereichs "Künstliche Intelligenz" der Gesellschaft für Informatik e.V.}}, keywords = {{2021 dice simba sherif limes ngonga knowgraphs sys:relevantFor:limboproject limboproject sys:relevantFor:infai sys:relevantFor:bis limbo opal georgala kevin slipo sage}}, publisher = {{Springer}}, title = {{{LIMES - A Framework for Link Discovery on the Semantic Web}}}, doi = {{10.1007/s13218-021-00713-x}}, year = {{2021}}, } @inproceedings{29043, abstract = {{Social media plays a significant role in disaster management by providing valuable data about affected people, donations and help requests. Recent studies highlight the need to filter information on social media into fine-grained content labels. However, identifying useful information from massive amounts of social media posts during a crisis is a challenging task. In this paper, we propose I-AID, a multimodel approach to automatically categorize tweets into multi-label information types and filter critical information from the enormous volume of social media data. I-AID incorporates three main components: i) a BERT- based encoder to capture the semantics of a tweet and represent as a low-dimensional vector, ii) a graph attention network (GAT) to apprehend correlations between tweets’ words/entities and the corresponding information types, and iii) a Relation Network as a learnable distance metric to compute the similarity between tweets and their corresponding information types in a supervised way. We conducted several experiments on two real publicly-available datasets. Our results indicate that I-AID outperforms state-of- the-art approaches in terms of weighted average F1 score by +6% and +4% on the TREC-IS dataset and COVID-19 Tweets, respectively.}}, author = {{Zahera, Hamada Mohamed Abdelsamee and Jalota, Rricha and Sherif, Mohamed and Ngonga Ngomo, Axel-Cyrille}}, booktitle = {{IEEE Open Access}}, keywords = {{sys:relevantFor:infai sys:relevantFor:DAIKIRI ngonga zahera sherif daikiriproject dice simba}}, title = {{{I-AID: Identifying Actionable Information from Disaster-related Tweets}}}, year = {{2021}}, } @article{29005, abstract = {{The number and size of datasets abiding by the Linked Data paradigm increase every day. Discovering links between these datasets is thus central to achieving the vision behind the Data Web. Declarative Link Discovery (LD) frameworks rely on complex Link Specification (LS) to express the conditions under which two resources should be linked. Understanding such LS is not a trivial task for non-expert users. Particularly when such users are interested in generating LS to match their needs. Even if the user applies a machine learning algorithm for the automatic generation of the required LS, the challenge of explaining the resultant LS persists. Hence, providing explainable LS is the key challenge to enable users who are unfamiliar with underlying LS technologies to use them effectively and efficiently. In this paper, we extend our previous work (Ahmed et al., 2019) by proposing a generic multilingual approach that allows verbalization of LS in many languages, i.e., converts LS into understandable natural language text. In this work, we ported our LS verbalization framework into German and Spanish, in addition to English language. Our adequacy and fluency evaluations show that our approach can generate complete and easily understandable natural language descriptions even by lay users. Moreover, we devised an experimental neural approach for improving the quality of our generated texts. Our neural approach achieves promising results in terms of BLEU, METEOR and chrF++.}}, author = {{Fathi Ahmed, Abdullah and Sherif, Mohamed and Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille}}, issn = {{0169-023X}}, journal = {{Data & Knowledge Engineering}}, keywords = {{2021 sys:relevantFor:infai simba sherif ngonga ahmed limes dice raki moussallem libo opal knowgraphs}}, pages = {{101874}}, title = {{{Multilingual Verbalization and Summarization for Explainable Link Discovery}}}, doi = {{https://doi.org/10.1016/j.datak.2021.101874}}, year = {{2021}}, } @inproceedings{29044, author = {{Chakraborty, Jaydeep and Sherif, Mohamed and Zahera, Hamada Mohamed Abdelsamee and Bansal, Srividya}}, booktitle = {{Proceedings of the IEEE International Conference on Machine Learning and Applications}}, keywords = {{dice sherif hamada}}, title = {{{OntoConnect: Domain-Agnostic Ontology Alignment using Graph Embedding with Negative Sampling}}}, year = {{2021}}, } @article{46563, author = {{Georgi, Christopher}}, journal = {{Sprachreport}}, number = {{2}}, pages = {{14–21}}, title = {{{Sprache in Politik und Gesellschaft. Perspektiven und Zugänge. Bericht von der 57. Jahrestagung des Leibniz-Instituts für Deutsche Sprache (als Online-Konferenz), 9. bis 11. März 2021}}}, year = {{2021}}, } @article{46562, author = {{Georgi, Christopher}}, journal = {{Deutsche Sprache}}, pages = {{279–283}}, title = {{{Sprache in Politik und Gesellschaft. Perspektiven und Zugänge. Bericht von der 57. Jahrestagung des Leibniz-Instituts für Deutsche Sprache, 9. bis 11. März 2021}}}, volume = {{3}}, year = {{2021}}, } @techreport{46540, abstract = {{Individual cognitive functioning declines over time. We seek to understand how adverse physical health shocks in older ages contribute to this development. By use of event-study methods and data from the USA, England and several countries in Continental Europe we find evidence that health shocks lead to an immediate and persistent decline in cognitive functioning. This robust finding holds in all regions representing different health insurance systems and seems to be independent of underlying individual demographic characteristics such as sex and age. We also ask whether variables that are susceptible to policy action can reduce the negative consequences of a health shock. Our results suggest that neither compulsory education nor retirement regulations moderate the effects, thus emphasizing the importance of maintaining good physical health in old age for cognitive functioning.}}, author = {{Schiele, Valentin and Schmitz, Hendrik}}, keywords = {{Cognitive decline, health shocks, retirement, education, event study}}, publisher = {{RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen}}, title = {{{Understanding cognitive decline in older ages: The role of health shocks}}}, volume = {{919}}, year = {{2021}}, } @techreport{46537, abstract = {{We study effects of retirement on cognitive abilities (up to ten years after retirement) using data from 21 countries in Continental Europe, England, and the US, and exploiting early-retirement thresholds for identification. For this purpose, combines event-study estimations with the marginal treatment effect framework to allow for effect heterogeneity. This helps to decompose event-study estimates into true medium-run effects of retirement and effects driven by differential retirement preferences. Our results suggest considerable negative effects of retirement on cognitive abilities. We also detect substantial effect heterogeneity: Those who retire as early as possible are not affected while those who retire later exhibit negative effects.}}, author = {{Schmitz, Hendrik and Westphal, Matthias}}, keywords = {{Cognitive abilities, retirement, event study, marginal treatment effects}}, publisher = {{RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen}}, title = {{{The dynamic and heterogeneous effects of retirement on cognitive decline}}}, volume = {{918}}, year = {{2021}}, } @misc{33038, author = {{Kämper, Marek}}, title = {{{Bestimmung von flussigkeitsseitigen Stoffübergangskoeffizienten für strukturierte Packungen basierend auf hydrodynamischen Analogien}}}, year = {{2021}}, } @inbook{46608, author = {{Schubert, Michael}}, booktitle = {{Migrations and Border Processes. Practices and Politics of Belonging and Exclusion in Europe from the Nineteenth to the Twenty-First Century}}, editor = {{Fauser, Margit and Friedrichs, Anne and Harders, Levke}}, pages = {{45 -- 63}}, title = {{{The Creation of Illegal Migration in the German Confederation, 1815–1866}}}, year = {{2021}}, } @phdthesis{46618, author = {{Vöing, Nerea}}, isbn = {{9783839448168}}, publisher = {{transcript Verlag}}, title = {{{Arbeit und Melancholie}}}, doi = {{10.1515/9783839448168}}, year = {{2021}}, } @article{46621, author = {{Vöing, Nerea}}, journal = {{DUZ Magazin}}, pages = {{22--23}}, title = {{{„Nicht alles lässt sich digital lösen“ – Jetzt schlägt die Stunde moderner Konzepte, meint Hochschuldidaktikerin Nerea Vöing}}}, volume = {{7}}, year = {{2021}}, } @inbook{46631, author = {{Vöing, Nerea and Franke, Kathrin and Sekyra, Anita}}, booktitle = {{Handbuch Hochschuldidaktik}}, editor = {{Kordts-Freudinger, Robert and Schaper, Niclas and Scholkmann, Antonia and Szczyrba, Birgit}}, pages = {{283--298}}, publisher = {{wbv media}}, title = {{{Besondere Formate der hochschuldidaktischen Weiterbildung. Stand der Praxis inklusive Good Practice-Beispiele}}}, year = {{2021}}, } @inbook{46630, author = {{Kordts-Freudinger, Robert and Bücker, Diana and Schulte, Rebecca and Vöing, Nerea}}, booktitle = {{Hochschule auf Abstand}}, isbn = {{9783839456903}}, publisher = {{transcript Verlag}}, title = {{{»Ich bin froh darüber, dass das so passiert ist«}}}, doi = {{10.1515/9783839456903-017}}, year = {{2021}}, } @article{46629, author = {{Vöing, Nerea and Leschke, Jonas and Daumiller, Martin}}, journal = {{ZFHE}}, number = {{3}}, pages = {{199--216}}, title = {{{„Evidenz“, was meinen Sie damit? – Eine Interviewstudie zum Verständnis von Hochschullehrenden vom Evidenzbegriff}}}, doi = {{10.3217/zfhe-16-03/12}}, volume = {{16}}, year = {{2021}}, } @inbook{36821, author = {{Tumat, Antje}}, booktitle = {{Musikwissenschaft der Vielfalt. Festschrift Rebecca Grotjahn zum 60. Geburtstag}}, editor = {{Iffland, Joachim and Imm, Johanna and Jaeschke, Nina and Schauberger, Sarah}}, isbn = {{978-3-96233-276-1}}, keywords = {{Neue Musik}}, pages = {{371--384}}, publisher = {{Allitera Verlag}}, title = {{{Grenzen der Musik? Deutschsprachige Narrative zu Musik und Geräusch in den 1950er-Jahren}}}, year = {{2021}}, } @book{46651, author = {{Meister, Johannes and Trier, Ulrike and Upmeier zu Belzen, Annette}}, isbn = {{ 978-3-617-22014-6 }}, pages = {{52}}, publisher = {{Friedrich Verlag}}, title = {{{Neue Wege in die Biologie: Verstehen mit Modellen - Originale – Theorien – Modellierung }}}, year = {{2021}}, }