We publish in the field of basic research in the areas of computational linguistics, information systems, computer vision or machine learning.

 

2024

  • Marco Kurzweg, Yannick Weiss, Marc O. Ernst, Albrecht Schmidt, and Katrin Wolf. 2024. A Survey on Haptic Feedback through Sensory Illusions in Interactive Systems. A Survey on Haptic Feedback through Sensory Illusions in Interactive Systems. In ACM Comput. Surv. ACM, New York, NY, USA, 39 pages.
  • Alexei Figueroa, Jens-Michalis Papaioannou, Conor Fallon, Alexandra Bekiaridou, Keno Bressem, Stavros Zanos, Felix Gers, Wolfgang Nejdl, Alexander Löser (2024). Boosting Long-Tail Data Classification with Sparse Prototypical Networks. In: Bifet, A., Davis, J., Krilavičius, T., Kull, M., Ntoutsi, E., Žliobaitė, I. (eds) Machine Learning and Knowledge Discovery in Databases. Research Track. ECML PKDD 2024. Lecture Notes in Computer Science(), vol 14947. Springer, Cham. https://doi.org/10.1007/978-3-031-70368-3_26
  • Tom Röhr, Alexei Figueroa, Jens-Michalis Papaioannou, Conor Fallon, Keno Bressem, Wolfgang Nejdl, and Alexander Löser. 2024. Revisiting Clinical Outcome Prediction for MIMIC-IV. In Proceedings of the 6th Clinical Natural Language Processing Workshop, pages 208–217, Mexico City, Mexico. Association for Computational Linguistics.
  • Paul Grundmann, Jens-Michalis Papaioannou, Tom Oberhauser, Thomas Steffek, Amy Siu, Wolfgang Nejdl, and Alexander Loeser. 2024. Data Drift in Clinical Outcome Prediction from Admission Notes. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 4381–4391, Torino, Italia. ELRA and ICCL.

  • Benjamin Winter, Alexei Gustavo Figueroa Rosero, Alexander Löser, Felix Alexander Gers, Nancy Katerina Figueroa Rosero, and Ralf Krestel. 2024. DDxGym: Online Transformer Policies in a Knowledge Graph Based Natural Language Environment. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 4438–4448, Torino, Italia. ELRA and ICCL.

  • L Adams, F Busch, T Han, JB Excoffier, M Ortala, A Löser, H Aerts, JN Kather, D Truhn, K Bressem: LongHealth: A Question Answering Benchmark with Long Clinical Documents. arXiv preprint arXiv:2401.14490, 2024.

  • KK Bressem, JM Papaioannou, P Grundmann, F Borchert, LC Adams, L Liu, F Busch, L Xu, JP Loyen, SM Niehues, M Augustin, L Grosser, MR Makowski, H Aerts, A Löser: Medbert. de: A comprehensive german bert model for the medical domain. In: Expert Systems with Applications (237), Pergamon 2024.

  • Jäger, S.; Biessmann, F.. (2024). From Data Imputation to Data Cleaning — Automated Cleaning of Tabular Data Improves Downstream Predictive Performance. Proceedings of The 27th International Conference on Artificial Intelligence and Statistics, in: Proceedings of Machine Learning Research, 238:3394-3402.

  • Chiaburu, T., Haußer, F., Bießmann, F. (2024). CoProNN: Concept-Based Prototypical Nearest Neighbors for Explaining Vision Models. In: Longo, L., Lapuschkin, S., Seifert, C. (eds) Explainable Artificial Intelligence. xAI 2024. Communications in Computer and Information Science, vol 2153. Springer, Cham. https://doi.org/10.1007/978-3-031-63787-2_5

  • Hoffmann, M. L., Ivana Nanevski, Maike Gossen, Jens Bergener, Alexander Flick, Tilman Santarius, & Felix Biessmann. (2024). Can Sustainable Shopping Recommendations in Online Retail Help Reduce Global Warming? Assessing the Direct and Indirect Climate Impact of Modern Software. Weizenbaum Journal of the Digital Society, 4(1). https://doi.org/10.34669/WI.WJDS/4.1.2

  • Chiaburu, T.; Haußer, F.; Bießmann, F. Uncertainty in XAI: Human Perception and Modeling Approaches. Mach. Learn. Knowl. Extr. 2024, 6, 1170-1192. https://doi.org/10.3390/make6020055

  • Kozcuer, C., Mollen, A. & Bießmann, F. Towards Transnational Fairness in Machine Learning: A Case Study in Disaster Response Systems. Minds & Machines 34, 11 (2024). https://doi.org/10.1007/s11023-024-09663-3

  • Zhaolan Huang, Adrien Tousnakhoff, Polina Kozyr, Roman Rehausen, Felix Bießmann, Robert Lachlan, Cedric Adjih, Emmanuel Baccelli: "TinyChirp: Bird Song Recognition Using TinyML Models on Low-power Wireless Acoustic Sensors." IEEE International Symposium on the Internet of Sounds (2024).

  • V Singh, T Ling, T Chiaburu, F Biessmann: Data-driven Modeling of Combined Sewer Systems for Urban Sustainability: An Empirical Evaluation, Workshop on Public Interest AI at 47th German Conference on AI (KI 2024)

  • TV Nguyen, J Hoster, A Glaser, K Hildebrand, F Biessmann: Generating Synthetic Satellite Imagery for Rare Objects: An Empirical Comparison of Models and Metrics, Workshop on Public Interest AI at 47th German Conference on AI (KI 2024)

  • A Schwarz, L Hernadi, F Bießmann, K Hildebrand: The Influence of Faulty Labels in Data Sets on Human Pose Estimation. arXiv preprint arXiv:2409.03887, 2024

  • T Chiaburu, F Haußer, F Bießmann: Confident Teacher, Confident Student? A Novel User Study Design for Investigating the Didactic Potential of Explanations and their Impact on Uncertainty. arXiv preprint arXiv:2409.17157, 2024

2023

  • Marco Kurzweg, Maximilian Letter, and Katrin Wolf. 2023. Vibrollusion: Creating a Vibrotactile Illusion Induced by Audiovisual Touch Feedback. In International Conference on Mobile and Ubiquitous Multimedia (MUM ’23), December 3–6, 2023, Vienna, Austria. ACM, New York, NY, USA, 21 pages. https://doi.org/10.1145/3626705.3627790

  • Juan F. Olaya-Figueroa, Ferdinand Streicher, Marco Kurzweg, Jan Willms, and Katrin Wolf. 2023. HapticCollider: Ungrounded Force Feedback for Rigid Collisions during Virtual Tool Use. In Proceedings of Mensch und Computer 2023 (MuC ’23). Association for Computing Machinery, New York, NY, USA, 116–126. doi.org/10.1145/3603555.3603568. HONOURABLE MENTION

  • Marco Kurzweg, Simon Linke, Yannick Weiss, Maximilian Letter, Albrecht Schmidt, and Katrin Wolf. 2023. Assignment of a Vibration to a Graphical Object Induced by Resonant Frequency. In Proceesings of INTERACT 2023 is the 19th International Conference promoted by the IFIP Technical Committee 13 on Human–Computer Interaction

  • Maximilian Letter, Ceenu George, and Katrin Wolf. 2023. A Survey of Computer-Supported Remote Collaboration on Physical Objects. In Proceesings of INTERACT 2023 is the 19th International Conference promoted by the IFIP Technical Committee 13 on Human–Computer Interaction

  • Maximilian Letter, Marco Kurzweg, and Katrin Wolf. 2023. Comparing Screen-based Version
    Control to Augmented Artifact Version Control for Physical Objects. In Proceesings of INTERACT 2023 is the 19th International Conference promoted by the IFIP Technical Committee 13 on Human–Computer Interaction

  • Marco Kurzweg, Maximilian Letter, and Katrin Wolf. 2023. Increasing Realism of Displayed Vibrating AR Objects through Edge Blurring. In Proceedings of Mensch und Computer 2023 (MuC ’23). Association for Computing Machinery, New York, NY, USA, 16–26. https://doi.org/10.1145/3603555.3603570

  • Jan Willms, Maximilian Letter, Emile Marchandise, and Katrin Wolf. 2023. Pull Outperforms Push as Vibrotactile Wristband Feedback for Mid-Air Gesture Guidance. In Proceedings of Mensch und Computer 2023 (MuC ’23). Association for Computing Machinery, New York, NY, USA, 138–148. https://doi.org/10.1145/3603555.3603579

  • Kai Kunze, Pattie Maes, Florian Floyd’ Mueller, and Katrin Wolf (Editors). Cognitive Augmentation. Dagstuhl Reports, 2023, Vol. 12, Issue 12, pp. 1–26, Schloss Dagstuhl – Leibniz-Zentrum für Informatik, Dagstuhl Publishing, Germany, DOI: 10.4230/DagRep.12.12.1

  • Kathrin Seibert, Dominik Domhoff, Daniel Fürstenau, Felix Biessmann, Matthias Schulte-Althoff, Karin Wolf-Ostermann: Exploring needs and challenges for AI in nursing care – results of an explorative sequential mixed methods study. BMC Digit Health 1, 13 (2023). doi.org/10.1186/s44247-023-00015-2

  • Martin Tschaikner, Danja Brandt, Henning Schmidt, Felix Bießmann, Teodor Chiaburu, Ilona Schrimpf, Thomas Schrimpf, Alexandra Stadel, Frank Haußer, Ingeborg Beckers, "Multisensor data fusion for automatized insect monitoring (KInsecta)," Proc. SPIE 12727, Remote Sensing for Agriculture, Ecosystems, and Hydrology XXV, 1272702 (17 October 2023); doi.org/10.1117/12.2679927

  • Felix Biessmann, Bhaskar Kamble, Rita Streblow: An Automated Machine Learning Approach towards Energy Saving Estimates in Public Buildings, in: Energies 2023, 16, 6799. doi.org/10.3390/en16196799

  • Jens Bergener, Maike Gossen, Marja Lena Hoffmann, Felix Bießmann, Marek Veneny, Ruben Korenke: Evaluating the Quality of ChatGPT’s Climate-related Responses, in: Ökologisches Wirtschaften-Fachzeitschrift, 38 (3), 46-50, 2023

  • Georg L Baumgärtner, Charlie A Hamm, Sophia Schulze-Weddige, Richard Ruppel, Nick L Beetz, Madhuri Rudolph, Franziska Dräger, Konrad P Froböse, Helena Posch, Julian Lenk, Felix Biessmann, Tobias Penzkofer: Metadata-independent classification of MRI sequences using convolutional neural networks: Successful application to prostate MRI, European Journal of Radiology, vol. 166, 2023

  • Dominik Domhoff, Kathrin Seibert, Lea Bergmann, Sarah Theune, Felix Bießmann, Daniel Fürstenau, Matthias Schulte-Althoff, Karin Wolf-Ostermann: Forschungs-und Entwicklungsprojekte in der Pflege erfolgreich planen und umsetzen–Voraussetzungen und Gelingensbedingungen am Beispiel des Einsatzes von künstlicher Intelligenz, in: In: Krick, T., Zerth, J., Rothgang, H., Klawunn, R., Walzer, S., Kley, T. (eds): Pflegeinnovationen in der Praxis. Springer Gabler, Wiesbaden 2023

  • Teodor Chiaburu, Felix Biessmann: Interpretable Time Series Models for Wastewater Modeling in Combined Sewer Overflows, at: International Conference on Industry Sciences and Computer Sciences Innovation (iSCSi), 2023

  • Charlie A Hamm, Georg L Baumgärtner, Felix Biessmann, Nick L Beetz, Alexander Hartenstein, Lynn J Savic, Konrad Froböse, Franziska Dräger, Simon Schallenberg, Madhuri Rudolph, Alexander DJ Baur, Bernd Hamm, Matthias Haas, Sebastian Hofbauer, Hannes Cash, Tobias Penzkofer: Interactive Explainable Deep Learning Model Informs Prostate Cancer Diagnosis at MRI, In: Radiology, 2023

  • AS Karakaya, T Ritter, F Biessmann, D Bermbach: CycleSense: Detecting near miss incidents in bicycle traffic from mobile motion sensors. In: Pervasive and Mobile Computing 91, 101779, 2023
  • Alexander Flick, Sebastian Jäger, Ivana Trajanovska, Felix Biessmann: Automated Extraction of Fine-Grained Standardized Product Information from Unstructured Multilingual Web Data. In: Advances in Information Retrieval: 45th European Conference on Information Retrieval, ECIR 2023 
  • Thereza Schmelter, Lucie Kruse, Sukran Karaosmanoglu, Sebastian Rings, Frank Steinicke, Kristian Hildebrand: Towards More Inclusive and Accessible Virtual Reality: Conducting Large-scale Studies in the Wild. CHI Extended Abstracts 2023: 476:1-476:5
  • Johannes Hoster, Dennis Ritter, Kristian Hildebrand: Style-aware Augmented Virtuality Embeddings (SAVE).  IEEE Conference on Virtual Reality and 3D User Interfaces (2023)
  • Keno K. Bressem, Jens-Michalis Papaioannou, Paul Grundmann, Florian Borchert, Lisa C. Adams, Leonhard Liu, Felix Busch, Lina Xu, Jan P. Loyen, Stefan Markus Niehues, Moritz Augustin, Lennart Grosser, Marcus R. Makowski, Hugo J. W. L. Aerts, Alexander Löser: MEDBERT.de: A Comprehensive German BERT Model for the Medical Domain. CoRR abs/2303.08179 (2023)
  • Tianyu Han, Lisa C. Adams, Jens-Michalis Papaioannou, Paul Grundmann, Tom Oberhauser, Alexander Löser, Daniel Truhn, Keno K. Bressem: MedAlpaca - An Open-Source Collection of Medical Conversational AI Models and Training Data. CoRR abs/2304.08247 (2023)
  • Wagner, K., Volkenig, H., Basyigit, S., Merceron, A., Sauer, P., Pinkwart, N.: Which Approach best Predicts Dropouts in Higher Education? In Proceedings of the 15th International Conference on Computer Science and Education  CSEDU. SciTePress, pages 15-26. Prague, Czech Republik, April 2023.
  • Wagner, K., S., Merceron, A., Sauer, P., Pinkwart, N.: Can the Paths of Successful Students Help Other Students With Their Course Enrollments? (Long Paper), Best Paper Nominee, In Proceedings of the 16th International Conference on Educational Data Mining EDM 2023. Bengaluru, India, July 2023.
  • Ng SC, Biswas A, Huyton T, Schünemann J, Reber S & Görlich D (2023) Barrier-properties of Nup98 FG phases ruled by FG motif identity and inter-FG spacer length. Nature Communications 14, 747 (2023).
  • Kai Kunze, Pattie Maes, Florian Floyd’ Mueller, and Katrin Wolf (Editors). Cognitive Augmentation, Dagstuhl Reports, 2023, Vol. 12, Issue 12, pp. 1–26, Schloss Dagstuhl – Leibniz-Zentrum für Informatik, Dagstuhl Publishing, Germany
  • Danja Brandt and Martin Tschaikner, Teodor Chiaburu, Henning Schmidt, Ilona Schrimpf, Alexandra Stadel and Ingeborg E. Beckers, Frank Haußer, Low Cost Machine Vision for Insect Classification, Springer International Publishing, Intelligent Systems and Applications. IntelliSys (2023) accepted.

2022

     

    2021

    2020

    2019

    2018 and before

    • Sebastian Schelter, Dustin Lange, Philipp Schmidt, Meltem Celikel, Felix Bießmann, Andreas Grafberger: Automating Large-Scale Data Quality Verification. PVLDB 11(12): 1781-1794 (2018)
    • Felix Bießmann, David Salinas, Sebastian Schelter, Philipp Schmidt, Dustin Lange:
      "Deep" Learning for Missing Value Imputationin Tables with Non-Numerical Data. ACM CIKM 2018: 2017-2025
    • Patrick Ernst, Amy Siu, Gerhard Weikum: HighLife: Higher-arity Fact Harvesting. ACM WWW 2018: 1013-102, Best paper award (see paper)
    • Smart-MD: Neural Paragraph Retrieval of Medical Topics". In ACM WWW ’18 Companion: The 2018 Web Conference Companion, April 23–27, 2018, Lyon, France. ACM, New York, NY, USA, 4 pages. [video]
    • Rudolf Schneider, Tom Oberhauser, Tobias Klatt, Felix A. Gers, Alexander Löser: RelVis: Benchmarking OpenIE Systems. International Semantic Web Conference (Posters, Demos & Industry Tracks) 2017
    • Rudolf Schneider, Tom Oberhauser, Tobias Klatt, Felix A. Gers, and Alexander Löser, “Analysing Errors of Open Information Extraction Systems,” accepted for BLGNLP 2017 Building Linguistically Generalizable NLP Systems at EMNLP 2017
    • Troung-Sinh An, Agathe Merceron, Cristopher Krauss,  "Can Typical Behaviors Identified in MOOCs be Discovered in Other Courses?" In Proc. 10th International Conference on Educational Data Mining EDM2017, China, June 25-28, pp. 220-225.
    •  ACM TOG (Transaction on Graphics) 2017:Optimal discrete slicing on 3D printing optimization. Kristian Hildebrand, Marc Alexa und Sylvain Lefebvre
    • Interactive Relation Extraction in Main Memory  Database Systems. Rudolf Schneider, Cordula Guder, Torsten Kilias, Alexander Löser, Jens Graupmann and Oleksandr Kozachuk. COLING 2016
    • TASTY: Interactive Entity Linking As-You-Type. Sebastian Arnold, Robert Dziuba, Alexander Löser. COLING 2016
    • Sebastian Arnold, Felix A. Gers, Torsten Kilias, Alexander Löser: Robust Named Entity Recognition in Idiosyncratic Domains. arXiv:1608.06757 [cs.CL] 2016
    • Teacher-Student Classroom Interactions: A Computational Approach.
      Arnon Hershkovitz, Agathe Merceron, Amran Shamaly. 2015.
      In Proceedings of the 8th International Conference on Educational Data Mining, pp. 396-397, Madrid, Spain, June 26-29 2015 p. 558-559
    • Resolving Common Analytical Tasks in Text Databases. Sebastian Arnold, Alexander Löser, Torsten Kilias.  ACM DOLAP 2015
    • Proceedings of the 5th International Conference on Learning Analytics and Knowledge, ACM LAK15: Blinkstein, A.; Merceron, A.; Siemens, G.; Baron, J.; Marziaz, N.; Lynch, G. (Eds), Poughkeepsie, NY, USA, March 16-20, 2015, ACM, ISBN: 978-1-4503-3417-4 http://dl.acm.org/citation.cfm?id=2723576
    • Reber S and Goehring NW (2015). Intracellular Scaling Mechanisms. Cold Spring Harb Perspect Biol., 2015 Aug 7;7(12).
    • INDREX: In-database relation extraction. Torsten Kilias, Alexander Löser, Perikilis Andritsos Elsevier Information Systems Journal. 2015
    • Asif, R., Merceron, A. and Pathan, M.K.: Investigating Performance of Students: a Longitudinal Study. ACM LAK 15, Blinkstein, A.; Merceron, A.; Siemens, G.; Baron, J.; Marziaz, N.; Lynch, G. (Eds), Poughkeepsie, NY, USA, March 16-20, 2015, ACM, ISBN: 978-1-4503-3417-4. http://dl.acm.org/citation.cfm?id=2723579
    • Hyman AA and Reber S (2015). Emergent Properties of the Metaphase Spindle. Cold Spring Harb Perspect Biol, 1;7(7):a015784.
    • Johannes Kirschnick, Torsten Kilias, Holmer Hemsen, Alexander Löser, Peter Adolphs, Heiko Ehrig, Holger Düwiger: A Marketplace for Web Scale Analytics and Text Annotation Services. COLING (Demos) 2014: 100-104
    • Reber S, Baumgart J, PO, Pozniakovsky A, Howard J, Hyman AA, Jülicher F (2013). XMAP215 activity sets spindle length by controlling the total mass of spindle microtubules. Nat Cell Biol; 15(9):1116-22.
    • Torsten Kilias, Alexander Löser, Periklis Andritsos: INDREX: in-database distributional relation extraction. ACM DOLAP 2013: 93-100
    • Scolz M, Widlund PO, Piazza S, Bublik DR, Reber S, Peche LY, Ciani Y, Hubner N, Isokane M, Monte M, Ellenberg J, Hyman AA, Schneider C, Bird AW (2012). GTSE1 is a microtubule plus-end tracking protein that regulates EB1-dependent cell migration. PLoS One; 7(12):e51259.
    • Widlund PO, Podolski M, Reber S, Alper J, Storch M, Hyman AA, Howard J, Drechsel DN (2012). One step purification of assembly-competent tubulin from diverse eukaryotic sources. Mol Biol Cell, 23(22):4393-401.
    • Reber S & Hyman AA (2011). Samurai Sword Sets Spindle Size. Cell, 147(6), 1224-1225.
    • Tang, S, Renz M, Driscoll M, Reber S, Nguyen A, Daniels B, and Lippincott-Schwartz J (2011). Cytoplasmic self-organization of internal membranes, microtubule-and actincytoskeleton inside microfluidics generated droplets. Mol Biol Cell, 22: 8120.
    • Reber S. Isolation of centrosomes from cultured cells (2011). Methods Mol Biol, 777:107-16.
    • Widlund PO, Stear JH, Pozniakovsky A, Zanic M, Reber S, Brouhard GJ, Hyman AA, Howard J (2011). XMAP215 polymerase activity is built by combining multiple tubulin binding TOG domains and a basic lattice-binding region. Proc Natl Acad Sci USA, 15;108(7):2741-6.
    • A. Krueger, A. Merceron, B. Wolf:A Data Model to Ease Analysis and Mining of Educational Data Proc. 3rd International Conference on Educational Data Mining EDM2010, Pittsburgh, USA, June 11-13, pp. 131-140, ISBN: 978-0-615-37529-8.
    • Berger SM, Pesold B, Reber S, Schönig K., Berger AJ, Weidenfeld I. & Bartsch D. (2010). Quantitative analysis of conditional gene inactivation using rationally designed, tetracycline-controlled miRNAs. Nucleic Acids Res, 38(17), e168-e168.
    • Baker, R.S.J.d., Merceron, A., Pavlik, P.I. Jr. (Eds),
      Pittsburgh, PA, USA, June 11-13, 2010, ISBN: 978-0-615-37529-8. Proceedings of the 3rd International Conference on Educational Data Mining EDM2010.
    • Reber S, Over S, Kronja I, Gruss OJ (2008). CaM kinase II initiates meiotic spindle depolymerization independently of APC/C activation. J Cell Biol, 15;183(6):1007-17.
    • Tegha-Dunghu J, Neumann B, Reber S, Krause R, Erfle H, Walter T, ... & Ellenberg J. (2008). EML3 is a nuclear microtubule-binding protein required for the correct alignment of chromosomes in metaphase. J Cell Sci, 121(10), 1718-1726.
    • A. Merceron, K. Yacef: Interestingness Measures for Association Rules in Educational Data Proceedings of the first International Conference on Educational Data Mining (EDM'08), Montreal, Canada, ISBN - 10: 0615306292. Nominated for best paper award.
    • Taxis C, Maeder C, Reber S, Rathfelder N, Miura K, Greger K & Knop M. (2006). Dynamic organization of the actin cytoskeleton during meiosis and spore formation in budding yeast. Traffic, 7(12), 1628-1642.
    • Janke C, Magiera MM, Rathfelder N, Taxis C, Reber S, Maekawa H & Knop M. (2004). A versatile toolbox for PCR‐based tagging of yeast genes: new fluorescent proteins, more markers and promoter substitution cassettes. Yeast, 21(11), 947-962.
    • Moreno-Borchart AC, Finkbeiner MG, Maier P, Reber S & Knop M. (2003). Function of the yeast spindle pole body during meiotic cell differentiation. Cell Motil Cytoskel, 54, (2)165-165.
    • Felix A. Gers, Nicol N. Schraudolph, Jürgen Schmidhuber: Learning Precise Timing with LSTM Recurrent Networks. Journal of Machine Learning Research 3: 115-143 (2002)


    • Gers F., Bießmann F. Deep Learning im Inverted Classroom Szenario, Berlin Journal of Data Science 2020
    • Florian Stahl, Alexander Löser, Gottfried Vossen: Preismodelle für Datenmarktplätze. Informatik Spektrum 38(2): 133-141 (2015)
    • Herrmann F.; Sauer P.: Fachspezifische 3D-Modelle in Oracle Spatial. DOAG Konferenz, Nürnberg, 2013;
    • Krämer M.; Sauer P.: Integration von Geodaten und Daten des Facility Managements zur Verbesserung der Liegenschaftsverwaltung. In: Angewandte Forschung zur Stadt der Zukunft, Logos Verlag Berlin, S. 49 – 52, 2013
    • Sauer P.; Herrmann F.; Matusewicz J.: Virtuelle Integration von Datenquellen mit einer Graph-Datenbank. Fossgis2014, Berlin, 2014, S. 11 – 14;