@inbook{33738, author = {{Zahera, Hamada Mohamed Abdelsamee and Heindorf, Stefan and Balke, Stefan and Haupt, Jonas and Voigt, Martin and Walter, Carolin and Witter, Fabian and Ngonga Ngomo, Axel-Cyrille}}, booktitle = {{The Semantic Web: ESWC 2022 Satellite Events}}, isbn = {{9783031116087}}, issn = {{0302-9743}}, publisher = {{Springer International Publishing}}, title = {{{Tab2Onto: Unsupervised Semantification with Knowledge Graph Embeddings}}}, doi = {{10.1007/978-3-031-11609-4_9}}, year = {{2022}}, } @inproceedings{33739, abstract = {{At least 5% of questions submitted to search engines ask about cause-effect relationships in some way. To support the development of tailored approaches that can answer such questions, we construct Webis-CausalQA-22, a benchmark corpus of 1.1 million causal questions with answers. We distinguish different types of causal questions using a novel typology derived from a data-driven, manual analysis of questions from ten large question answering (QA) datasets. Using high-precision lexical rules, we extract causal questions of each type from these datasets to create our corpus. As an initial baseline, the state-of-the-art QA model UnifiedQA achieves a ROUGE-L F1 score of 0.48 on our new benchmark.}}, author = {{Bondarenko, Alexander and Wolska, Magdalena and Heindorf, Stefan and Blübaum, Lukas and Ngonga Ngomo, Axel-Cyrille and Stein, Benno and Braslavski, Pavel and Hagen, Matthias and Potthast, Martin}}, booktitle = {{Proceedings of the 29th International Conference on Computational Linguistics}}, pages = {{3296–3308}}, publisher = {{International Committee on Computational Linguistics}}, title = {{{CausalQA: A Benchmark for Causal Question Answering}}}, year = {{2022}}, } @misc{45790, author = {{Palushi, Juela}}, title = {{{Domain-aware Text Professionalization using Sequence-to-Sequence Neural Networks}}}, year = {{2022}}, } @misc{45789, author = {{Budanurmath, Vinaykumar}}, title = {{{Propaganda Technique Detection Using Connotation Frames}}}, year = {{2022}}, } @misc{45914, author = {{Manjunatha, Suraj}}, publisher = {{Paderborn University }}, title = {{{Dealing With Pre-Processing And Feature Extraction Of Time-Series Data In Predictive Maintenance}}}, year = {{2022}}, } @misc{45915, author = {{Kaur , Parvinder}}, title = {{{Analysis of Time-Series Classification in Conditional Monitoring Systems}}}, year = {{2022}}, } @unpublished{33493, abstract = {{Electronic structure calculations have been instrumental in providing many important insights into a range of physical and chemical properties of various molecular and solid-state systems. Their importance to various fields, including materials science, chemical sciences, computational chemistry and device physics, is underscored by the large fraction of available public supercomputing resources devoted to these calculations. As we enter the exascale era, exciting new opportunities to increase simulation numbers, sizes, and accuracies present themselves. In order to realize these promises, the community of electronic structure software developers will however first have to tackle a number of challenges pertaining to the efficient use of new architectures that will rely heavily on massive parallelism and hardware accelerators. This roadmap provides a broad overview of the state-of-the-art in electronic structure calculations and of the various new directions being pursued by the community. It covers 14 electronic structure codes, presenting their current status, their development priorities over the next five years, and their plans towards tackling the challenges and leveraging the opportunities presented by the advent of exascale computing.}}, author = {{Gavini, Vikram and Baroni, Stefano and Blum, Volker and Bowler, David R. and Buccheri, Alexander and Chelikowsky, James R. and Das, Sambit and Dawson, William and Delugas, Pietro and Dogan, Mehmet and Draxl, Claudia and Galli, Giulia and Genovese, Luigi and Giannozzi, Paolo and Giantomassi, Matteo and Gonze, Xavier and Govoni, Marco and Gulans, Andris and Gygi, François and Herbert, John M. and Kokott, Sebastian and Kühne, Thomas and Liou, Kai-Hsin and Miyazaki, Tsuyoshi and Motamarri, Phani and Nakata, Ayako and Pask, John E. and Plessl, Christian and Ratcliff, Laura E. and Richard, Ryan M. and Rossi, Mariana and Schade, Robert and Scheffler, Matthias and Schütt, Ole and Suryanarayana, Phanish and Torrent, Marc and Truflandier, Lionel and Windus, Theresa L. and Xu, Qimen and Yu, Victor W. -Z. and Perez, Danny}}, booktitle = {{arXiv:2209.12747}}, title = {{{Roadmap on Electronic Structure Codes in the Exascale Era}}}, year = {{2022}}, } @inproceedings{46193, author = {{Karp, Martin and Podobas, Artur and Kenter, Tobias and Jansson, Niclas and Plessl, Christian and Schlatter, Philipp and Markidis, Stefano}}, booktitle = {{International Conference on High Performance Computing in Asia-Pacific Region}}, publisher = {{ACM}}, title = {{{A High-Fidelity Flow Solver for Unstructured Meshes on Field-Programmable Gate Arrays: Design, Evaluation, and Future Challenges}}}, doi = {{10.1145/3492805.3492808}}, year = {{2022}}, } @unpublished{32404, abstract = {{The CP2K program package, which can be considered as the swiss army knife of atomistic simulations, is presented with a special emphasis on ab-initio molecular dynamics using the second-generation Car-Parrinello method. After outlining current and near-term development efforts with regards to massively parallel low-scaling post-Hartree-Fock and eigenvalue solvers, novel approaches on how we plan to take full advantage of future low-precision hardware architectures are introduced. Our focus here is on combining our submatrix method with the approximate computing paradigm to address the immanent exascale era.}}, author = {{Kühne, Thomas and Plessl, Christian and Schade, Robert and Schütt, Ole}}, booktitle = {{arXiv:2205.14741}}, title = {{{CP2K on the road to exascale}}}, year = {{2022}}, } @article{33226, abstract = {{A parallel hybrid quantum-classical algorithm for the solution of the quantum-chemical ground-state energy problem on gate-based quantum computers is presented. This approach is based on the reduced density-matrix functional theory (RDMFT) formulation of the electronic structure problem. For that purpose, the density-matrix functional of the full system is decomposed into an indirectly coupled sum of density-matrix functionals for all its subsystems using the adaptive cluster approximation to RDMFT. The approximations involved in the decomposition and the adaptive cluster approximation itself can be systematically converged to the exact result. The solutions for the density-matrix functionals of the effective subsystems involves a constrained minimization over many-particle states that are approximated by parametrized trial states on the quantum computer similarly to the variational quantum eigensolver. The independence of the density-matrix functionals of the effective subsystems introduces a new level of parallelization and allows for the computational treatment of much larger molecules on a quantum computer with a given qubit count. In addition, for the proposed algorithm techniques are presented to reduce the qubit count, the number of quantum programs, as well as its depth. The evaluation of a density-matrix functional as the essential part of our approach is demonstrated for Hubbard-like systems on IBM quantum computers based on superconducting transmon qubits.}}, author = {{Schade, Robert and Bauer, Carsten and Tamoev, Konstantin and Mazur, Lukas and Plessl, Christian and Kühne, Thomas}}, journal = {{Phys. Rev. Research}}, pages = {{033160}}, publisher = {{American Physical Society}}, title = {{{Parallel quantum chemistry on noisy intermediate-scale quantum computers}}}, doi = {{10.1103/PhysRevResearch.4.033160}}, volume = {{4}}, year = {{2022}}, } @article{33684, author = {{Schade, Robert and Kenter, Tobias and Elgabarty, Hossam and Lass, Michael and Schütt, Ole and Lazzaro, Alfio and Pabst, Hans and Mohr, Stephan and Hutter, Jürg and Kühne, Thomas and Plessl, Christian}}, issn = {{0167-8191}}, journal = {{Parallel Computing}}, keywords = {{Artificial Intelligence, Computer Graphics and Computer-Aided Design, Computer Networks and Communications, Hardware and Architecture, Theoretical Computer Science, Software}}, publisher = {{Elsevier BV}}, title = {{{Towards electronic structure-based ab-initio molecular dynamics simulations with hundreds of millions of atoms}}}, doi = {{10.1016/j.parco.2022.102920}}, volume = {{111}}, year = {{2022}}, } @inproceedings{45248, author = {{Dongol, Brijesh and Schellhorn, Gerhard and Wehrheim, Heike}}, booktitle = {{33rd International Conference on Concurrency Theory, CONCUR 2022, September 12-16, 2022, Warsaw, Poland}}, editor = {{Klin, Bartek and Lasota, Slawomir and Muscholl, Anca}}, pages = {{31:1–31:23}}, publisher = {{Schloss Dagstuhl - Leibniz-Zentrum für Informatik}}, title = {{{Weak Progressive Forward Simulation Is Necessary and Sufficient for Strong Observational Refinement}}}, doi = {{10.4230/LIPIcs.CONCUR.2022.31}}, volume = {{243}}, year = {{2022}}, } @article{27364, author = {{Meyer, Marius and Kenter, Tobias and Plessl, Christian}}, issn = {{0743-7315}}, journal = {{Journal of Parallel and Distributed Computing}}, title = {{{In-depth FPGA Accelerator Performance Evaluation with Single Node Benchmarks from the HPC Challenge Benchmark Suite for Intel and Xilinx FPGAs using OpenCL}}}, doi = {{10.1016/j.jpdc.2021.10.007}}, year = {{2022}}, } @inproceedings{31407, abstract = {{Students are not aware and have little understanding of collecting and processing personal data in their everyday contexts of interaction with data-driven digital artifacts. To be aware of where, how and why data are collected and processed is important to be self-determined. Therefore, we develop and evaluate a teaching sequence to provide reasoning about data as a fundamental aspect of statistical literacy. This teaching sequences deals with the context of interaction with a cellular network where location data are collected. Students get real location data from an unknown person which can be explored with the aim to characterize the person. Students gain different insights by using different basic filters and explain how they achieve these. The results of the exploratory study indicate that students learned to gain insights by exploring given location data and that these insights may describe the person with detailed aspects that may not necessarily be true.}}, author = {{Höper, Lukas and Podworny, Susanne and Schulte, Carsten and Frischemeier, Daniel}}, booktitle = {{Proceedings of the IASE 2021 Satellite Conference}}, publisher = {{International Association for Statistical Education}}, title = {{{Exploration of Location Data: Real Data in the Context of Interaction with a Cellular Network}}}, doi = {{10.52041/iase.nkppy}}, year = {{2022}}, } @inproceedings{33997, abstract = {{Digital platforms have already led to disruptions in multiple B2C markets and are becoming increasingly dominant in B2B markets. As a result, more and more companies are trying to participate in the platform economy. However, the successful development and operation of a digital platform is associated with significant challenges, which leads to 85% of all platforms failing. A core challenge is the dynamic nature of the platform economy, with varying strategic objectives at different stages in the platform lifecycle. Platform operators must continuously monitor platform progress and adjust their strategy. Utilizing action research in the real-world platform project AI Marketplace, we developed a lifecycle-oriented performance management approach for digital platforms in B2B markets. It enables platform operators to reflect on their position in the platform lifecycle, derive relevant strategic objectives, and monitor them with suitable key performance indicators. Hence, allowing them to secure the long-term success of their platform business.}}, author = {{Özcan, Leon and Kirchberg, Lisa Irene and Koldewey, Christian and Dumitrescu, Roman}}, booktitle = {{The Role of Innovation: Past, Present, Future}}, editor = {{Bitran, Iain and Bitetti, Leandro and Conn, Steffen and Fishburn, Jessica and Huizingh, Eelko and Torkkeli, Marko and Yang, Jialei}}, keywords = {{Digital Platform, Two-Sided Market, Multi-Sided Market, Platform Lifecycle, Platform Monitoring, Performance Management}}, location = {{Athens}}, title = {{{Performance Management Approach for Digital Platforms in B2B Markets}}}, year = {{2022}}, } @article{34640, author = {{Schloots, Franziska Margarete}}, issn = {{2192-5445}}, journal = {{Rabbit Eye - Zeitschrift für Filmforschung}}, keywords = {{Wearable, selft-tracking, Selbstvermessung, Animation, Tamagotchi, Anschaulichkeit}}, pages = {{65--77}}, title = {{{Die Tamagotchisierung des Selbst. Zur Anschaulichkeit von animierten Körperdaten}}}, volume = {{12}}, year = {{2022}}, } @inproceedings{52920, author = {{Baader, Franz and Koopmann, Patrick and Michel, Friedrich and Turhan, Anni-Yasmin and Zarrieß, Benjamin}}, booktitle = {{Proceedings of the 35th International Workshop on Description Logics (DL 2022) co-located with Federated Logic Conference (FLoC 2022), Haifa, Israel, August 7th to 10th, 2022}}, editor = {{Arieli, Ofer and Homola, Martin and Jung, Jean Christoph and Mugnier, Marie-Laure}}, publisher = {{CEUR-WS.org}}, title = {{{Efficient TBox Reasoning with Value Restrictions Using the FL0wer Reasoner (Extended Abstract)}}}, volume = {{3263}}, year = {{2022}}, } @inproceedings{52921, author = {{Tirtarasa, Satyadharma and Turhan, Anni-Yasmin}}, booktitle = {{Proceedings of the 35th International Workshop on Description Logics (DL 2022) co-located with Federated Logic Conference (FLoC 2022), Haifa, Israel, August 7th to 10th, 2022}}, editor = {{Arieli, Ofer and Homola, Martin and Jung, Jean Christoph and Mugnier, Marie-Laure}}, publisher = {{CEUR-WS.org}}, title = {{{A New Dimension to Generalization: Computing Temporal EL Concepts from Positive Examples (Extended Abstract)}}}, volume = {{3263}}, year = {{2022}}, } @inproceedings{52922, author = {{Peñaloza, Rafael and Turhan, Anni-Yasmin}}, booktitle = {{Proceedings of the 8th Workshop on Formal and Cognitive Reasoning co-located with the 45th German Conference on Artificial Intelligence (KI 2022), Virtual Event, Trier, Germany, September 19, 2022}}, editor = {{Beierle, Christoph and Ragni, Marco and Stolzenburg, Frieder and Sauerwald, Kai and Thimm, Matthias}}, pages = {{90–101}}, publisher = {{CEUR-WS.org}}, title = {{{User-aware Explications of Ontology Consequences: Levelling Technicality}}}, volume = {{3242}}, year = {{2022}}, } @inproceedings{64115, author = {{Awais, Muhammad and Platzner, Marco}}, booktitle = {{2022 IFIP/IEEE 30th International Conference on Very Large Scale Integration (VLSI-SoC)}}, publisher = {{IEEE}}, title = {{{Automated Framework for Fast Synthesis of Approximate Hardware Accelerators}}}, doi = {{10.1109/vlsi-soc54400.2022.9939606}}, year = {{2022}}, }