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Publications by the Institute AIFB in 2021
















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Mischa Ahrens, Fabian Kern, Hartmut Schmeck
Strategies for an Adaptive Control System to Improve Power Grid Resilience with Smart Buildings
Energies, 14, Juli, 2021

Ali Sunyaev, Niclas Kannengießer, Roman Beck, Horst Treiblmaier, Mary Lacity, Johann Kranz, Gilbert Fridgen, Ulli Spankowski, André Luckow
Token Economy
Business & Information Systems Engineering, Februar, 2021

Sascha Alpers, Thomas Karle, Clemens Schreiber, Frank Schönthaler, Andreas Oberweis
Process Mining bei hybriden Vorgehensmodellen zur Umsetzung von Unternehmenssoftware
Informatik Spektrum, 44, pages 178-189, Mai, 2021

Danilo Dessì, Francesco Osborne, Diego Reforgiato Recupero, Davide Buscaldi, Enrico Motta
Generating knowledge graphs by employing Natural Language Processing and Machine Learning techniques within the scholarly domain
Future Generation Computer Systems, 116, pages 253-264, Januar, 2021

Danilo Dessì, Diego Reforgiato Recupero, Harald Sack
An Assessment of Deep Learning Models and Word Embeddings for Toxicity Detection within Online Textual Comments
MDPI Electronics, 10, (7), 2021

Demian Frister, Andreas Oberweis, Aleksandar Goranov
Industrieroboter testet Apps
German Testing Magazin, 01/2021, pages 22-25, April, 2021

Sebastian Lins, Konstantin D. Pandl, Heiner Teigeler, Scott Thiebes, Calvin Bayer, Ali Sunyaev
Artificial Intelligence as a Service. Classification and Research Directions
Business & Information Systems Engineering, Juli, 2021

Markus Lücking, Felix Kretzer, Niclas Kannengießer, Michael Beigl, Ali Sunyaev, Wilhelm Stork
When Data Fly: An Open Data Trading System in Vehicular Ad Hoc Networks
Electronics, 10, (6), pages 654, März, 2021

Tobias Mettler, Ali Sunyaev
Are we on the right track? an update to Lyytinen et al.’s commentary on why the old world cannot publish
European Journal of Information Systems, pages 1-14, Juni, 2021

Konstantin D. Pandl, Scott Thiebes, Manuel Schmidt-Kraepelin, Ali Sunyaev
How detection ranges and usage stops impact digital contact tracing effectiveness for COVID-19
Scientific Reports, 11, (1), pages 9414, Mai, 2021

Lukas Petry, Sebastian Lins, Scott Thiebes, Ali Sunyaev
Technologieauswahl im DigitalPakt: Wie werden Entscheidungen im Bildungssektor getroffen?
HMD Praxis der Wirtschaftsinformatik, Juni, 2021

Tarek Saier, Michael Färber, Tornike Tsereteli
Cross-Lingual Citations in English Papers: A Large-Scale Analysis of Prevalence, Usage, and Impact
International Journal on Digital Libraries, 2021

Jiexin Wang, Adam Jatowt, Michael Färber, Masatoshi Yoshikawa
Improving Question Answering for Event-Focused Questions in Temporal Collections of News Articles
Information Retrieval Journal, Januar, 2021

Simon Warsinsky, Manuel Schmidt-Kraepelin, Sascha Rank, Scott Thiebes, Ali Sunyaev
Conceptual Ambiguity Surrounding Gamification and Serious Games in Health Care: Literature Review and Development of Game-Based Intervention Reporting Guidelines (GAMING)
Journal of Medical Internet Research, 23, (9), September, 2021

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Mehwish Alam, Russa Biswas, Yiyi Chen, Danilo Dessì, Genet Asefa Gesese, Fabian Hoppe, Harald Sack
HierClasSArt: Knowledge-Aware Hierarchical Classification of Scholarly Articles
In Proc. of 1st International Workshop on Scientific Knowledge: Representation, Discovery, and Assessment (Sci-K 2021). Co-located with The Web Conference 2021., pages: 436-440, Association for Computing Machinery

Russa Biswas, Radina Sofronova, Mehwish Alam, Nicolas Heist, Heiko Paulheim, Harald Sack
Do Judge an Entity by Its Name! Entity Typing Using Language Models
In Ruben Verborgh, Anastasia Dimou, Aidan Hogan, Claudia d'Amato, Ilaria Tiddi, Arne Bröring, Simon Maier, Femke Ongenae, Riccardo Tommasini, Mehwish Alam, The Semantic Web: ESWC 2021 Satellite Events, pages: 65-70, Springer International Publishing, 12739, Cham, Juni, 2021

Danilo Dessì, Tanja Käser, Mirko Marras, Elvira Popescu, Harald Sack
Designing Intelligent Systems for Online Education: Open Challenges and Future Directions
First International Workshop on Enabling Data-Driven Decisions from Learning on the Web 2021 (L2D 2021). Co-located with WSDM 2021., pages: 57-64, CEUR Workshop Proceedings, 2876

Boulos El Asmar, Syrine Chelly, Michael Färber
AWARE: An Ontology for Situational Awareness of Autonomous Vehicles in Manufacturing
Proceedings of the 2021 Commonsense Knowledge Graph Workshop (CSKG'21)@AAAI'21, AAAI

Michael Färber, Ann-Kathrin Leisinger
DataHunter: A System for Finding Datasets Based on Scientific Problem Descriptions
Proceedings of the 15th ACM Recommender Systems Conference (RecSys'21), pages: 1-5, ACM

Michael Färber, Alexander Albers, Felix Schüber
Identifying Used Methods and Datasets in Scientific Publications
In AAAI, Proceedings of the AAAI-21 Workshop on Scientific Document Understanding (SDU'21), AAAI

Michael Färber, Vinzenz Zinecker, Isabela Bragaglia, Sebastian Celis, Maria Duma
C-Rex: A Comprehensive System for Recommending In-Text Citations with Explanations
Proceedings of the 1st International Workshop on Scientific Knowledge: Representation, Discovery, and Assessment (Sci-K'21∂WWW'21), ACM

Michael Färber, Frederic Bartscherer
Media Bias Everywhere? A Vision for Dealing with the Manipulation of Public Opinion
Proceedings of the Second International Workshop on Algorithmic Bias in Search and Recommendation (Bias∂ECIR'21), Springer

Efthimios-Enias Gojka, Niclas Kannengießer, Benjamin Sturm, Jan Bartsch, Ali Sunyaev
Security in Distributed Ledger Technology: An Analysis of Vulnerabilities and Attack Vectors
Advances in Intelligent Systems and Computing, Springer, Juni, 2021

Fabian Hoppe, Danilo Dessì, Harald Sack
Deep Learning meets Knowledge Graphs for Scholarly Data Classification
In Proc. of 1st International Workshop on Scientific Knowledge: Representation, Discovery, and Assessment (Sci-K 2021). Co-located with The Web Conference 2021., pages: 417-421, Association for Computing Machinery

Fabian Hoppe
Deep Learning meets Knowledge Graphs for Scholarly DataClassification
WWW '21: Companion Proceedings of the Web Conference 2021, pages: 417–421, Association for Computing Machinery, New York, NY, USA, April, 2021

Ahmad Zainul Ihsan, Danilo Dessì, Mehwish Alam, Harald Sack, Stefan Sandfeld
Steps towards a Dislocation Ontology for Crystalline Materials
In Raúl García-Castro, John Davies, Grigoris Antoniou, Carolina Fortuna, Proceedings of the Second International Workshop on Semantic Digital Twins co-located with the 18th Extended Semantic Web Conference (ESWC 2021),, 2887, Juni, 2021

Adam Jatowt, I-Chen Hung, Michael Färber, Ricardo Campos, Masatoshi Yoshikawa
Exploding TV Sets & Disappointing Laptops: Suggesting Interesting Content in News Archives based on Surprise Estimation
Proceedings of the 43rd European Conferene on Information Retrieval (ECIR'21), Springer

Johan Krause, Igor Shapiro, Tarek Saier, Michael Färber
Bootstrapping Multilingual Metadata Extraction: A Showcase in Cyrillic
Proceedings of the Second Workshop on Scholarly Document Processing, CEUR-WS

Anna Nguyen, Franz Krause, Daniel Hagenmayer, Michael Färber
Quantifying Explanations of Neural Networks in E-Commerce Based on LRP
Proceedings of Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD'21), Springer, Juli, 2021

Anna Nguyen, Adrian Oberföll, Michael Färber
Right for the Right Reasons: Making Image Classification Intuitively Explainable
Advances in Information Retrieval. ECIR 2021. Lecture Notes in Computer Science, Springer, Cham, 12657, März, 2021

Kristian Noullet, Samuel Printz, Michael Färber
Combining Linking Techniques for Everyone
Proceedings of the 18th Extended Semantic Web Conference (ESWC'21), Springer

Jonas Oppenländer, Elina Kuosmanen, Andrés Lucero, Simo Hosio
Hardhats and Bungaloos: Comparing Crowdsourced Design Feedback with Peer Design Feedback in the Classroom
Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, pages: 570:1-570:14, Association for Computing Machinery, New York, NY, USA

Konstantin D. Pandl, Fabian Feiland, Scott Thiebes, Ali Sunyaev
Trustworthy machine learning for health care: scalable data valuation with the shapley value
Proceedings of the Conference on Health, Inference, and Learning, pages: 47–57, Association for Computing Machinery (ACM), April, 2021

Konstantin D. Pandl, Heiner Teigeler, Sebastian Lins, Scott Thiebes, Ali Sunyaev
Drivers and Inhibitors for Organizations’ Intention to Adopt Artificial Intelligence as a Service
Proceedings of the 54th Hawaii International Conference on System Sciences (HICSS), pages: 1-10, none, Januar, 2021

Tobias Riedel, Ariane Hoeck, Sebastian Steuer, Alexandra Maertz, Wolf Fichtner, Hartmut Schmeck
Comparison of regulatory concepts for the integration of market-and grid-serving flexibility using smart metering systems
ETG Congress 2021, pages: 1-6, VDE, März, 2021

Tim Rädsch, Sven Eckhardt, Florian Leiser, Konstantin D. Pandl, Scott Thiebes, Ali Sunyaev
What Your Radiologist Might be Missing:Using Machine Learning to Identify Mislabeled Instances of X-ray Images
In HICSS, Proceedings of the 54th Hawaii International Conference on System Sciences (HICSS), Springer, Januar, 2021

Clemens Schreiber, Gunther Schiefer, Sascha Alpers, Marius Take, Andreas Oberweis
Prozessorientiertes Reinforcement Learning: Grafische Modellierung zur Unterstützung der Erklärbarkeit
Prozessorientiertes Reinforcement Learning: Grafische Modellierung zur Unterstützung der Erklärbarkeit,, Februar, 2021

Tabea Tietz, Oleksandra Bruns, Sandra Göller, Matthias Razum, Danilo Dessì, Harald Sack
Knowledge Graph enabled Curation and Exploration of Nuremberg’s City Heritage
In Proc. of the Conference on Digital Curation Technologies 2021 (Qurator 2021), CEUR

Mahsa Vafaie, Oleksandra Bruns, Nastasja Pilz, Danilo Dessì, Harald Sack
Modelling Archival Hierarchies in Practice: Key Aspects and Lessons Learned
, Proceedings of the 6th International Workshop on Computational History, Online, September, 2021

Oleksandra Vsesviatska, Tabea Tietz, Fabian Hoppe, Mirjam Sprau, Nils Meyer, Danilo Dessì, Harald Sack
ArDO: An Ontology to Describe the Dynamics of Multimedia Archival Records
In Proc. of the 36th ACM/SIGAPP Symposium On Applied Computing (ACM SAC 2021), pages: 1855-1863, ACM

Ahmad Ihsan Zainul, Danilo Dessì, Mehwish Alam, Harald Sack, Stefan Sandfeld
Steps towards a Dislocation Ontology for Crystalline Materials
In CEUR, In Proc. of 2nd International Workshop on Semantic Digital Twins (SeDiT 2021), co-located with ESWC 2021, CEUR Workshop Proceedings, 2887

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Michael Färber, Yulia Svetashova, Andreas Harth
Theories of Meaning for the Internet of Things
Concepts in Action. Language, Cognition, and Mind, pages 37-61, Springer, Cham, 2021

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Danilo Dessì, Tanja Käser, Mirko Marras, Elvira Popescu, Harald Sack
Enabling Data-Driven Decisions from Learning on the Web 2021
CEUR Workshop Proceedings, Vol. 2876, März, 2021

Danilo Dessì, Tanja Käser, Mirko Marras, Elvira Popescu, Harald Sack
L2D 2021: First International Workshop on Enabling Data-Driven Decisions from Learning on the Web
Association for Computing Machinery, New York, NY, USA, März, 2021

Maximilian Renner, Sebastian Lins, Ali Sunyaev
A Taxonomy of IS Certification's Characteristics
ACM Digital Library, New York, USA, Juni, 2021

Marius Take, Sascha Alpers, Christoph Becker, Clemens Schreiber, Andreas Oberweis
Software Design Patterns for AI-Systems, Mai, 2021

Ruben Verborgh
The Semantic Web - 18th International Conference, ESWC 2021, Virtual Event, June 6–10, 2021, Proceedings
Springer in Ruben Verborgh, Katja Hose, Heiko Paulheim, Pierre-Antoine Champin, Maria Maleshkova, Oscar Corcho, Petar Ristoski, Mehwish Alam, Vol. 1, Cham, Juni, 2021

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Kaibin Bao
Disaggregation von Haushaltsenergiemessdaten mit tiefen neuronalen Netzen
Hartmut Schmeck; Dominik Engel (Salzburg), 2021/01/27, KIT, Fakultät für Wirtschaftswissenschaften

Kevin Förderer
Modeling and Communicating Flexibility in Smart Grids Using Artificial Neural Networks as Surrogate Models
Hartmut Schmeck; Andreas Oberweis, 2021/07/13, KIT, Fakultät für Wirtschaftswissenschaften

Rima Türker
Short Text Categorization using World Knowledge
Harald Sack; Heiko Paulheim; York Sure-Vetter, 2021/03/03, KIT, Fakultät für Wirtschaftswissenschaften

Tobias Weller
Learning Latent Features using Stochastic Neural Networks on Graph Structured Data
York Sure-Vetter; Maribel Acosta; Ingrid Ott, 2021/02/11, KIT, Fakultät für Wirtschaftswissenschaften

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Ville Paananen, Piia Markkanen, Jonas Oppenländer, Lik Hang Lee, Haider Akmal, Ava Fatah gen. Schieck, John Dunham, Konstantinos Papangelis, Nicolas Lalone, Niels van Berkel, Jorge Goncalves, Simo Hosio
2VT: Visions, Technologies, and Visions of Technologies for Understanding Human Scale Spaces
Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems, Mai, 2021

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Nacira Abbas, Kholoud Alghamdi, Mortaza Alinam, Francesca Alloatti, Glenda Amaral, Claudia d'Amato, Luigi Asprino, Martin Beno, Felix Bensmann, Russa Biswas, et al., Genet Asefa Gesese, Harald Sack
Knowledge Graphs Evolution and Preservation -- A Technical Report from ISWS 2019
, Dezember, 2021

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