| Introducing the Open Energy Ontology: Enhancing data interpretation and interfacing in energy systems analysis M Booshehri, L Emele, S Flügel, H Förster, J Frey, U Frey, M Glauer, ... Energy and AI 5, 100074, 2021 | 93 | 2021 |
| When one logic is not enough: Integrating first-order annotations in OWL ontologies S Flügel, M Glauer, F Neuhaus, J Hastings Semantic Web, 1-16, 2024 | 7 | 2024 |
| Introducing the open energy ontology: Enhancing data interpretation and interfacing in energy systems analysis. Energy and AI 2021; 5: 100074 M Booshehri, L Emele, S Flügel, H Förster, J Frey, U Frey | 6 | 2021 |
| Introducing the open energy ontology: enhancing data interpretation and interfacing in energy systems analysis. Energy AI 5, 100074 (2021) M Booshehri, L Emele, S Flügel, H Förster, J Frey, U Frey, M Glauer, ... | 5 | 2021 |
| FOWL-An OWL to FOL Translator. S Flügel, A Kleinau, F Neuhaus, M Glauer, J Hastings JOWO, 2021 | 5 | 2021 |
| Chebifier: automating semantic classification in ChEBI to accelerate data-driven discovery M Glauer, F Neuhaus, S Flügel, M Wosny, T Mossakowski, A Memariani, ... Digital Discovery 3 (5), 896-907, 2024 | 4 | 2024 |
| The open energy ontology M Glauer, M Booshehri, L Emele, S Fluegel, H Förster, J Frey, U Frey, ... | 2 | 2020 |
| Predicting Patient-Based Time-Dependent Mobile Health Data A Kleinau, S Flügel, R Pryss, C Vogel, M Engelke, W Schlee, ... 2023 IEEE 36th International Symposium on Computer-Based Medical Systems …, 2023 | 1 | 2023 |
| A fuzzy loss for ontology classification S Flügel, M Glauer, T Mossakowski, F Neuhaus International Conference on Neural-Symbolic Learning and Reasoning, 101-118, 2024 | | 2024 |
| A semantic loss for ontology classification S Flügel, M Glauer, T Mossakowski, F Neuhaus arXiv e-prints, arXiv: 2405.02083, 2024 | | 2024 |
| Neural-Symbolic Learning and Reasoning: 18th International Conference, NeSy 2024, Barcelona, Spain, September 9–12, 2024, Proceedings, Part I TR Besold, AA Garcez, E Jimenez-Ruiz, R Confalonieri, P Madhyastha, ... Springer Nature, 2024 | | 2024 |
| CBMS 2023 DR Alattal, Z Wang | | |
| Neural-Symbolic Learning and Reasoning TR Besold, AA Garcez, E Jimenez-Ruiz, R Confalonieri, P Madhyastha, ... | | |
