Expressing Patient Selection Criteria Based on HL7 V3 Templates Within the Open-Source Tool ART-DECOR. - Simon Ott; Christoph Rinner; Georg Duftschmid (dHealth, 2019)

The Lazarus Effect: Healing Compromised Devices in the Internet of Small Things. - Manuel Huber 001; Stefan Hristozov; Simon Ott; Vasil Sarafov; Marcus Peinado (AsiaCCS, 2020)

OpenBioLink: a benchmarking framework for large-scale biomedical link prediction. - Anna Breit; Simon Ott; Asan Agibetov; Matthias Samwald (Bioinform., 2020)

Scalable and interpretable rule-based link prediction for large heterogeneous knowledge graphs. - Simon Ott; Laura Graf 002; Asan Agibetov; Christian Meilicke; Matthias Samwald (CoRR, 2020)

SAFRAN: An interpretable, rule-based link prediction method outperforming embedding models. - Simon Ott; Christian Meilicke; Matthias Samwald (AKBC, 2021)

A curated, ontology-based, large-scale knowledge graph of artificial intelligence tasks and benchmarks. - Kathrin Blagec; Adriano Barbosa-Silva; Simon Ott; Matthias Samwald (CoRR, 2021)

BigBio: A Framework for Data-Centric Biomedical Natural Language Processing. - Jason A. Fries; Leon Weber; Natasha Seelam; Gabriel Altay; Debajyoti Datta; Samuele Garda; Sunny Kang; Rosaline Su; Wojciech Kusa; Samuel Cahyawijaya; Fabio Barth; Simon Ott; et al. (NeurIPS, 2022)

LinkExplorer: predicting, explaining and exploring links in large biomedical knowledge graphs. - Simon Ott; Adriano Barbosa-Silva; Matthias Samwald (Bioinform., 2022)

Mapping global dynamics of benchmark creation and saturation in artificial intelligence. - Adriano Barbosa-Silva; Simon Ott; Kathrin Blagec; Jan Brauner; Matthias Samwald (CoRR, 2022)

A global analysis of metrics used for measuring performance in natural language processing. - Kathrin Blagec; Georg Dorffner; Milad Moradi; Simon Ott; Matthias Samwald (CoRR, 2022)

BigBIO: A Framework for Data-Centric Biomedical Natural Language Processing. - Jason Alan Fries; Leon Weber; Natasha Seelam; Gabriel Altay; Debajyoti Datta; Samuele Garda; Myungsun Kang; Ruisi Su; Wojciech Kusa; Samuel Cahyawijaya; Fabio Barth; Simon Ott; et al. (CoRR, 2022)

Universal Remote Attestation for Cloud and Edge Platforms. - Simon Ott; Monika Kamhuber; Joana Pecholt; Sascha Wessel (ARES, 2023)

Rule-based Knowledge Graph Completion with Canonical Models. - Simon Ott; Patrick Betz; Daria Stepanova 001; Mohamed H. Gad-Elrab; Christian Meilicke; Heiner Stuckenschmidt (CIKM, 2023)

ThoughtSource: A central hub for large language model reasoning data. - Simon Ott; Konstantin Hebenstreit; Valentin Liévin; Christoffer Egeberg Hother; Milad Moradi; Maximilian Mayrhauser; Robert Praas; Ole Winther; Matthias Samwald (CoRR, 2023)

SOVEREIGN - Towards a Holistic Approach to Critical Infrastructure Protection. - Georg T. Becker; Thomas Eisenbarth 001; Hannes Federrath; Mathias Fischer 001; Nils Loose; Simon Ott; Joana Pecholt; Stephan Marwedel; Dominik Meyer; Jan Stijohann; Anum Talpur; Matthias Vallentin (ARES, 2024)

MultiTEE: Distributing Trusted Execution Environments. - Simon Ott; Benjamin Orthen; Alexander Weidinger; Julian Horsch; Vijayanand Nayani; Jan-Erik Ekberg (AsiaCCS, 2024)

Taxonomap: an Interactive System for the Exploration and Explanation of Unsupervised Large-Scale News Classification. - Simon Ott; Daria Liakhovets; Mina Schütz; Medina Andresel; Moritz W. Rothmund-Burgwall; Armin Vogl; Heidi Scheichenbauer; Michael Suker; Alexander Schindler (CBMI, 2024)

PyClause - Simple and Efficient Rule Handling for Knowledge Graphs. - Patrick Betz; Luis Galárraga; Simon Ott; Christian Meilicke; Fabian M. Suchanek; Heiner Stuckenschmidt (IJCAI, 2024)

Reevaluation of Inductive Link Prediction. - Simon Ott; Christian Meilicke; Heiner Stuckenschmidt (RuleML+RR, 2024)

Learning Rules from KGs Guided by Language Models. - Zihang Peng; Daria Stepanova 001; Vinh Thinh Ho; Heike Adel; Alessandra Russo; Simon Ott (CoRR, 2024)

Training-Free Score Calibration for Complex Query Decomposition. - Simon Ott; Melisachew Wudage Chekol; Christian Meilicke; Heiner Stuckenschmidt (ESWC (1), 2025)