Norbert Kockmann

19 papers C 2Journal 10Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
ChemDCAT-AP: Enabling Semantic Interoperability with a Contextual Extension of DCAT-AP.
CoRR
Philip Stroemert, Hendrik Borgelt, David Linke, Mark Doerr, Bhavin Katabathuni, Oliver Koepler, Norbert Kockmann
2025 J jnl
Ontology-Based Data Pipeline for Semantic Reaction Classification and Research Data Management.
Comput.
Hendrik Borgelt, Frederick Gabriel Kitel, Norbert Kockmann
2024 J jnl
Ontologies4Cat: investigating the landscape of ontologies for catalysis research data management.
J. Cheminformatics
Alexander S. Behr, Hendrik Borgelt, Norbert Kockmann
2024 J jnl
Reac4Cat-Ontology: Harnessing the Power of Ontological Description Logic in Catalysis Research as a Practical Approach to Knowledge Inferences.
Datenbank-Spektrum
Alexander S. Behr, Hendrik Borgelt, Norbert Kockmann
2024 J jnl
Transfer of Periodic Phenomena in Multiphase Capillary Flows to a Quasi-Stationary Observation Using U-Net.
Comput.
Bastian Oldach, Philipp Wintermeyer, Norbert Kockmann
2023 — conf
Investigating the Landscape of Ontologies for Catalysis Research Data Management.
CoRDI
Alexander S. Behr, Hendrik Borgelt, Taras Petrenko, Mark Dörr, Norbert Kockmann
2023 J jnl
Ontology extension with NLP-based concept extraction for domain experts in catalytic sciences.
Knowl. Inf. Syst.
Alexander S. Behr, Marc Völkenrath, Norbert Kockmann
2023 — conf
Ontology-Based Laboratory Data Acquisition With EnzymeML for Process Simulation of Biocatalytic Reactors.
CoRDI
Alexander S. Behr, Elnaz Abbaspour, Katrin Rosenthal, Jürgen Pleiss, Norbert Kockmann
2023 J jnl
Text-to-Ontology Mapping via Natural Language Processing with Application to Search for Relevant Ontologies in Catalysis.
Comput.
Lukás Korel, Uladzislau Yorsh, Alexander S. Behr, Norbert Kockmann, Martin Holena
2023 J jnl
Using Artificial Neural Networks to Determine Ontologies Most Relevant to Scientific Texts.
CoRR
Lukás Korel, Alexander S. Behr, Norbert Kockmann, Martin Holena
2023 C conf
Using Paraphrasers to Detect Duplicities in Ontologies.
KEOD
Lukás Korel, Alexander S. Behr, Norbert Kockmann, Martin Holena
2022 — conf
Adaptable Digital Labs - Motivation and Vision of the CrossLab Project.
GeCon
Ines Aubel, Sebastian Zug, André Dietrich, Johannes Nau, Karsten Henke, Pierre Helbing, Detlef Streitferdt, Claudius Terkowsky, Konrad Boettcher, Tobias R. Ortelt, Marcel Schade, Norbert Kockmann, Tobias Haertel, Uwe Wilkesmann, Matthias Finck, Jan Haase, Franziska Herrmann, Louis Kobras, Bernhard Meussen, Marcus Soll, Daniel Versick
2022 J jnl
Detecting flooding state in extraction columns: Convolutional neural networks vs. a white-box approach for image-based soft sensor development.
Comput. Chem. Eng.
Omar S. Bayomie, Rafael F. L. de Cerqueira, Laura Neuendorf, Iwan Kornijez, Samuel Kieling, Tim H. Sandermann, Keno Lammers, Norbert Kockmann
2022 C conf
MTPPy: Open-Source AI-friendly Modular Automation.
ETFA
Valentin Khaydarov, Laura Neuendorf, Tobias Kock, Norbert Kockmann, Leon Urbas
2022 — conf
Microcontroller-based Titration for Remote Lab.
GeCon
T. Aljoscha Frede, Stefan Höving, Konrad E. R. Boettcher, Ines Aubel, Norbert Kockmann
2022 J jnl
Population balance modeling of unstirred cooling crystallization on an integrated belt filter.
Comput. Chem. Eng.
Jana Sonnenschein, Mario Hermes, Stefan Höving, Norbert Kockmann, Kerstin Wohlgemuth
2022 — conf
Process control using AI on a digital twin of an extraction column in VR.
GeCon
Alexander S. Behr, Laura M. Neuendorf, Piriyanth Sakthithasan, Konrad E. R. Boettcher, Norbert Kockmann
2022 — conf
Text-to-Ontology Mapping via Natural Language Processing Models.
ITAT
Uladzislau Yorsh, Alexander S. Behr, Norbert Kockmann, Martin Holena
2022 — conf
Using Artificial Neural Networks to Determine Ontologies Most Relevant to Scientific Texts.
ITAT
Lukás Korel, Alexander S. Behr, Norbert Kockmann, Martin Holena