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<div xmlns="http://www.tei-c.org/ns/1.0"><head>Preface</head><p>LWDA 2023 conference provides a joint forum for experienced and young researchers, to bring insights to recent trends, technologies and applications and to promote interaction in the research field of big data and beyond.</p><p>The acronym LWDA expands in German to "Lernen. Wissen. Daten. Analysen." (English: "Learning. Knowledge. Data. Analytics."). Recent research in the field is presented and discussed from the viewpoint of machine learning, data mining, knowledge extraction, knowledge management, information retrieval, personalization, database management, information systems, big data management and big data analytics to name a few.</p><p>The LWDA conference series comprises the workshops BIA, DB, FGWM, IR and KDML which are organized by the respective special interest groups within the German Computer Science Society:</p></div>
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<div xmlns="http://www.tei-c.org/ns/1.0"><p>The papers published in LWDA 2023 proceedings have been selected by independent program committees from the respective fields. The program consists of four invited keynotes and two joint research sessions as well as the community meetings of the special interest groups. In addition to these joint sessions, there are five parallel research sessions for each of the workshops focusing on more specific topics. A joint poster session gives all presenters the opportunity to discuss their work in a broader context. This year's social program includes a city tour for further interaction on the second evening. The working group for Digitization &amp; Process Management at the Philipps-University of Marburg is proud to host the LWDA 2023 conference. For the technical program the organizer would like to thank the workshop chairs and their programme committees for their hard work as well as the keynote speakers for their inspiring talks. We hope the participants will keep the venue as an inspiring event with fruitful discussions in mind and the readers will enjoy studying the scientific contributions in this proceedings volume. The proceedings are published with CEUR and can be found here. http://ceur-ws.org/Vol-1917 </p></div><figure xmlns="http://www.tei-c.org/ns/1.0" xml:id="fig_0"><head></head><label></label><figDesc>Our distinguished keynote speakers are: -Prof. Dr. Hannes Mühleisen -Radboud Universiteit Nijmegen -Prof. Dr. Erhard Rahm -University of Leipzig -Prof. Dr. Michael Granitzer -University of Passau -Dr. Dietrich Alexander Herberg</figDesc></figure>
<figure xmlns="http://www.tei-c.org/ns/1.0" type="table" xml:id="tab_0"><head>Table of Contents</head><label>of</label><figDesc>Risk Identification of Data Science Projects: A Literature Review .................................................................. 1 Exploiting Foundation Models for Spoken Language Identification ................................................................ 28 Benedikt Augenstein and Darjan Salaj Accelerating literature screening for systematic literature reviews with Large Language Models -development, application, and first evaluation of a solution .......................................................................... 41 Coreference Resolution for Generating and Ranking Arguments Extracted from Debate Portals for Queries ....................................................................................................................... 161 Johannes Weidmann, Lorik Dumani and Ralf Schenkel The Information Retrieval Experiment Platform .............................................................................................. 175 Applied Face Recognition in the Humanities ................................................................................................... 179 Martin Bullin and Andreas Henrich Automatic Classification of Portraits: Application of Transformer and CNN Based Models for an Art Historic Dataset ................................................................................................................................ 192 Sebastian Diem and Thomas Mandl Comparative Survey of German Hate Speech Datasets: Background, Characteristics and Biases ................... 207 Markus Bertram, Johannes Schäfer and Thomas Mandl Preliminary Results of a Scientometric Analysis of the German Information Retrieval Community 2020-2023 ...................................................................................................................... 222 Philipp Schaer, Svetlana Myshkina and Jüri Keller A Testbed for Dual-Entity Knowledge Panels .................................................................................................. 231 Leon Martin and Andreas Henrich Vertical Search Scenarios within a Digital Study Planning Assistant ............................................................... 239 Case-Based Sample Generation using Multi-Armed Bandits .......................................................................... 282 Andreas Korger and Joachim Baumeister Combining Information Retrieval and Large Language Models for a Chatbot that Generates Reliable, Natural-style Answers ...................................................................................................... 298 Andreas Lommatzsch, Brandon Llanque, Vinay Srinath Rosenberg, Syed Ali Murad Tahir, Hristo Dimitrov Boyadzhiev and Maurice Walny The Data Dilemma: Google Analytics' Untapped Potential and Web Data Literacy ....................................... 311</figDesc><table><row><cell>Maike Holtkemper, Maria Potanin, Alexander Oberst and Christian Beecks Designing an Analytical Control Chart System with ML-predicted Quality Characteristics ............................ 14 CLEARNESS: Maik Fröbe, Jan Heinrich Reimer, Sean MacAvaney, Niklas Deckers, Janek Bevendorff,</cell></row><row><cell>Till Carlo Schelhorn, Jonas Gunklach and Alexander Maedche Benno Stein, Matthias Hagen and Martin Potthast</cell></row><row><cell>Tobias Hirmer, Michaela Ochs and Andreas Henrich</cell></row><row><cell>Sven Langenecker, Christoph Sturm, Christian Schalles and Carsten Binnig</cell></row><row><cell>Patient trajectory visualization for FHIR healthcare data: A use case on melanoma patients .......................... 153</cell></row><row><cell>Meijie Li, Wolfgang Galetzka, Bahadir Eryilmaz, Georg Christian Lodde, Elisabeth Livingstone,</cell></row><row><cell>Jörg Schlötterer and Christin Seifert Tom Alby</cell></row><row><cell>VII</cell></row></table><note>Paul Herbst and Henning Baars Datengenossenschaften als Datentreuhänder -Eine qualitative Analyse von Pilotprojekten ........................... 52 Maximilian Werling, Patrick Weber and Heiner Lasi Governance of Artificial Intelligence -A Framework Towards Ethical AI Applications ................................ 63 Jens F. Lachenmaier, Maximilian Werling and Dominik Morar Integrating Machine Learning into SQL with Exasol ....................................................................................... 73 Christoph Großmann and Johannes Schildgen Database and Workflow Optimizations for Spatial-Geometric Queries in GeoMine ....................................... 86 Martin Poppinga, Joel Graef, Konrad Diedrich, Matthias Rarey and Norbert Ritter SKYSHARK: A Benchmark with Real-world Data for Line-rate Stream Processing with FPGAs ................. 98 Maximilian Langohr, Tim Vogler and Klaus Meyer-Wegener SuMExplorer: Summarisation-based Frequent Subgraph Mining for Visual Exploratory Subgraph Searching 110 Chimi Wangmo and Lena Wiese Enhancing Data Acquisition and Fault Analysis for Large-Scale Facilities: A Case Study on the Laser-Based Synchronization System at the European X-Ray Free-Electron Laser ......................................... 121 Arne Grünhagen, Maximilian Schütte, Annika Eichler, Marina Tropmann-Frick and Görschwin Fey Heterogeneity in NoSQL Databases -Challenges of Handling schema-less Data .......................................... 134 Mark Lukas Möller, Dominique Hausler, Sebastian Strasser, Tanja Auge and Meike Klettke Pythagoras: Semantic Type Detection of Numerical Data Using Graph Neural Networks .............................. 146 Integrating BDI Agents with the MATSim Traffic Simulation for Autonomous Mobility on Demand ........... 247 Marcel Mauri, Ömer Ibrahim Erduran, Thu Pham Dieu Anh and Mirjam Minor KIRETT: Knowledge-Graph-Based Smart Treatment Assistant for Intelligent Rescue Operations ................. 259 Mubaris Nadeem, Johannes Zenkert, Lisa Bender, Christian Weber and Madjid Fathi SKOS-Utils: Developing and Checking SKOS Knowledge Graphs (Tool Presentation) ................................. 271 Joachim Baumeister and Valentin Roß</note></figure>
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<div xmlns="http://www.tei-c.org/ns/1.0"><p>Bridging the Gap: Examining the trust dimensions of smart contracts using supply chain applications .......... 325</p></div>
<div xmlns="http://www.tei-c.org/ns/1.0"><head>Wieland Müller and Michael Leyer</head><p>A Feature-wise Comparative Assessment of the CBR-based Methodologies FLEA and SEASALT .............. 339 Viktor Eisenstadt, Jessica Bielski, Christoph Langenhan, Klaus-Dieter Althoff and Andreas Dengel Comparative Analysis of Text-Based CBR Algorithms for Cybercrime Profiling Investigations .................... 347 Marc Krüger Cover Song Identification in Practice with Multimodal Co-Training ............................................................... 359 Simon Hachmeier and Robert Jäschke Higher-Order DeepTrails: Unified Approach to *Trails ................................................................................... 372 Tobias Koopmann, Jan Pfister, André Markus, Astrid Carolus, Carolin Wienrich and Andreas Hotho Fast k-Nearest-Neighbor-Consistent Clustering ............................................................................................... 387 Lars Lenssen, Niklas Strahmann and Erich Schubert Preprocessing Ground-Based Hyperspectral Image Data for Improving CNN-based Classification ............... 399 Andreas Schliebitz, Heiko Tapken and Martin Atzmueller Free-Energy Advantage Functions for Policy Transfer to Noisy Environments with Safety Constraints ........ 414 Pierre Haritz and Thomas Liebig Automatic Speech Detection on a Smart Beehive's Raspberry Pi .................................................................... 424 Pascal Janetzky, Philip Lissmann, Andreas Hotho and Anna Krause Comparing Humans and Algorithms in Feature Ranking: A Case-Study in the Medical Domain ................... 430 Jonas Hanselle, Jaroslaw Kornowicz, Stefan Heid, Kirsten Thommes and Eyke Hüllermeier Biomedical Event Extraction with Generative Language Models .................................................................... 442 Fabio Barth, Leon Weber-Genzel and Ulf Leser Liquor-HGNN: A heterogeneous graph neural network for leakage detection in water distribution networks 454 Melanie Schaller, Michael Steininger, Andrzej Dulny, Daniel Schlör and Andreas Hotho A Document Tagging Support System for Nursing Care Experts..................................................................... 470 Beat Tödtli1, Sebastian Müller, Melanie Rickenmann, Janine Vetsch and Simon Haug Efficient Light Source Placement using Quantum Computing ......................................................................... 478 Sascha Mücke and Thore Gerlach Contextual Preselection Methods in Pool-based Realtime Algorithm Configuration ....................................... 492 Jasmin Brandt, Elias Schede, Shivam Sharma, Viktor Bengs, Eyke Hüllermeier and Kevin Tierney A Few Models to Rule Them All: Aggregating Machine Learning Models ..................................................... 506 Florian Siepe, Phillip Wenig and Thorsten Papenbrock IX Applicability of Models Trained on Generated Clinical German Datasets on Out-domain Data ..................... 521 Oğuz Şerbetçi and Ulf Leser</p></div>
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