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Martin Glauer
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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
902021
Transparency, reproducibility, and quality of energy system analyses–A process to improve scientific work
L Hülk, B Müller, M Glauer, E Förster, B Schachler
Energy strategy reviews 22, 264-269, 2018
382018
Learning chemistry: exploring the suitability of machine learning for the task of structure-based chemical ontology classification
J Hastings, M Glauer, A Memariani, F Neuhaus, T Mossakowski
Journal of Cheminformatics 13, 1-20, 2021
342021
An institution for simple UML state machines
A Knapp, T Mossakowski, M Roggenbach, M Glauer
Fundamental Approaches to Software Engineering: 18th International …, 2015
332015
Interpretable ontology extension in chemistry
M Glauer, A Memariani, F Neuhaus, T Mossakowski, J Hastings
Semantic Web 15 (4), 937-958, 2024
152024
Netzebenenübergreifendes Planungsinstrument-zur Bestimmung des optimalen Netz-und Speicherausbaus in Deutschland-integriert in einer OpenEnergy-Plattform
UP Müller, B Schachler, WD Bunke, J Bartels, M Glauer, C Büttner, ...
URL https://www. uni-flensburg. de/fileadmin/content/abteilungen/industrial …, 2019
13*2019
Automated and explainable ontology extension based on deep learning: A case study in the chemical domain
A Memariani, M Glauer, F Neuhaus, T Mossakowski, J Hastings
arXiv preprint arXiv:2109.09202, 2021
122021
Predicting outcomes of smoking cessation interventions in novel scenarios using ontology-informed, interpretable machine learning
J Hastings, M Glauer, R West, J Thomas, AJ Wright, S Michie
Wellcome Open Research 8 (503), 503, 2023
112023
Identification of user requirements for an energy scenario database
K Reder, M Stappel, C Hofmann, H Förster, L Emele, L Hülk, M Glauer
International Journal of Sustainable Energy Planning and Management 25, 95-108, 2020
112020
Neuro-symbolic semantic learning for chemistry
M Glauer, T Mossakowski, F Neuhaus, A Memariani, J Hastings
Compendium of Neurosymbolic Artificial Intelligence, 460-484, 2023
72023
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, 2022
72022
Esc-rules: Explainable, semantically constrained rule sets
M Glauer, R West, S Michie, J Hastings
16th International Workshop on Neural-Symbolic (NeSy 2022), 2022
62022
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
52024
FOWL-An OWL to FOL Translator.
S Flügel, A Kleinau, F Neuhaus, M Glauer, J Hastings
JOWO, 2021
52021
An open database concept for open energy modelling
M Glauer, S Günther, L Hülk, WD Bunke
InviroInfo—From Science to Society: The Bridge Provided by Environmental …, 2017
52017
Ontology Pre-training for Poison Prediction
M Glauer, F Neuhaus, T Mossakowski, J Hastings
German Conference on Artificial Intelligence (Künstliche Intelligenz), 31-45, 2023
32023
The OpenEnergy Platform (OEP)-A web-platform to improve transparency and reproducibility of energy system analyses
E Kötter, B Müller, L Hülk, M Glauer
Reiner Lemoine Institut, 2017
12017
Knowledge and learning: synergies between ontologies and machine learning
M Glauer
Dissertation, Magdeburg, Otto-von-Guericke-Universität Magdeburg, 2024, 2024
2024
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 preprint arXiv:2405.02083, 2024
2024
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