Simon Ott

According to our database, Simon Ott authored at least 19 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Learning Rules from KGs Guided by Language Models.

Zihang Peng, Daria Stepanova, Vinh Thinh Ho, Heike Adel, Alessandra Russo, Simon Ott

CoRR, 2024

Reevaluation of Inductive Link Prediction.

Simon Ott, Christian Meilicke, Heiner Stuckenschmidt

Proceedings of the Rules and Reasoning, 2024

PyClause - Simple and Efficient Rule Handling for Knowledge Graphs.

Patrick Betz, Luis Galárraga, Simon Ott, Christian Meilicke, Fabian M. Suchanek, Heiner Stuckenschmidt

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

MultiTEE: Distributing Trusted Execution Environments.

Simon Ott, Benjamin Orthen, Alexander Weidinger, Julian Horsch, Vijayanand Nayani, Jan-Erik Ekberg

Proceedings of the 19th ACM Asia Conference on Computer and Communications Security, 2024

SOVEREIGN - Towards a Holistic Approach to Critical Infrastructure Protection.

Georg T. Becker, Thomas Eisenbarth, Hannes Federrath, Mathias Fischer, Nils Loose, Simon Ott, Joana Pecholt, Stephan Marwedel, Dominik Meyer, Jan Stijohann, Anum Talpur, Matthias Vallentin

Proceedings of the 19th International Conference on Availability, Reliability and Security, 2024

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

Rule-based Knowledge Graph Completion with Canonical Models.

Simon Ott, Patrick Betz, Daria Stepanova, Mohamed H. Gad-Elrab, Christian Meilicke, Heiner Stuckenschmidt

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Universal Remote Attestation for Cloud and Edge Platforms.

Simon Ott, Monika Kamhuber, Joana Pecholt, Sascha Wessel

Proceedings of the 18th International Conference on Availability, Reliability and Security, 2023

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, Matthias Samwald, Stephen H. Bach, Stella Biderman, Mario Sänger, Bo Wang, Alison Callahan, Daniel León Periñán, Théo Gigant, Patrick Haller, Jenny Chim, José David Posada, John Michael Giorgi, Karthik Rangasai Sivaraman, Marc Pàmies, Marianna Nezhurina, Robert Martin, Michael Cullan, Moritz Freidank, Nathan Dahlberg, Shubhanshu Mishra, Shamik Bose, Nicholas Michio Broad, Yanis Labrak, Shlok S. Deshmukh, Sid Kiblawi, Ayush Singh, Minh Chien Vu, Trishala Neeraj, Jonas Golde, Albert Villanova del Moral, Benjamin Beilharz

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

Mapping global dynamics of benchmark creation and saturation in artificial intelligence.

Adriano Barbosa-Silva, Simon Ott, Kathrin Blagec, Jan Brauner, Matthias Samwald

CoRR, 2022

LinkExplorer: predicting, explaining and exploring links in large biomedical knowledge graphs.

Simon Ott, Adriano Barbosa-Silva, Matthias Samwald

Bioinform., 2022

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, Matthias Samwald, Stephen H. Bach, Stella Biderman, Mario Sänger, Bo Wang, Alison Callahan, Daniel León Periñán, Théo Gigant, Patrick Haller, Jenny Chim, José D. Posada, John M. Giorgi, Karthik Rangasai Sivaraman, Marc Pàmies, Marianna Nezhurina, Robert Martin, Michael Cullan, Moritz Freidank, Nathan Dahlberg, Shubhanshu Mishra, Shamik Bose, Nicholas Broad, Yanis Labrak, Shlok Deshmukh, Sid Kiblawi, Ayush Singh, Minh Chien Vu, Trishala Neeraj, Jonas Golde, Albert Villanova del Moral, Benjamin Beilharz

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

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

SAFRAN: An interpretable, rule-based link prediction method outperforming embedding models.

Simon Ott, Christian Meilicke, Matthias Samwald

Proceedings of the 3rd Conference on Automated Knowledge Base Construction, 2021

2020

Scalable and interpretable rule-based link prediction for large heterogeneous knowledge graphs.

Simon Ott, Laura Graf, Asan Agibetov, Christian Meilicke, Matthias Samwald

CoRR, 2020

OpenBioLink: a benchmarking framework for large-scale biomedical link prediction.

Anna Breit, Simon Ott, Asan Agibetov, Matthias Samwald

Bioinform., 2020

The Lazarus Effect: Healing Compromised Devices in the Internet of Small Things.

Manuel Huber, Stefan Hristozov, Simon Ott, Vasil Sarafov, Marcus Peinado

Proceedings of the ASIA CCS '20: The 15th ACM Asia Conference on Computer and Communications Security, 2020

2019

Expressing Patient Selection Criteria Based on HL7 V3 Templates Within the Open-Source Tool ART-DECOR.

Simon Ott, Christoph Rinner, Georg Duftschmid

Proceedings of the dHealth 2019 - From eHealth to dHealth, 2019