talkA. S. Behr, H. Borgelt, N. Kockmann

Ontologies as base for data integration in process engineering – Update from NFDI4Cat

Digitale Technologien in Anlagenbau, Betrieb und Service, 20.02.2024, Frankfurt am Main, Germany

proceedingN. Kockmann, A. S. Behr, H. Borgelt, M. Dörr, D. Linke, N. G. Moustakas, M. Khatamirad, S. A. Schunk, S. Hanf, E. Norouzi, E. Saraci, M. Heßelmann, S. Zimmer, F. Wiesner, M. Wessling, T. Petrenko, Y. Dikova, R. Khare, A. Trunschke, J. Schumann, S. Angeli,

Ontology-based Data Management and Interoperability: Workflow for Catalysis and Process Research Data

Whitepaper, Zenodo, 2024, https://doi.org/10.5281/zenodo.10932849

journalA. S. Behr, H. Borgelt, N. Kockmann

Reac4Cat-Ontology: Harnessing the power of ontological description logic in catalysis research as a practical approach to knowledge inferences

Datenbank-Spektrum, 2024, vol. 24, p. 139, https://doi.org/10.1007/s13222-024-00476-3

journalA. S. Behr, J. Surkamp, E. Abbaspour, M. Häußler, S. Lütz, J. Pleiss, N. Kockmann, K. Rosenthal

Fluent integration of laboratory data into biocatalytic process simulation using EnzymeML, DWSIM, and ontologies,

Processes, 2024, vol. 12, p. 597, https://doi.org/10.3390/pr12030597

journalA. S. Behr, H. Borgelt, N. Kockmann

Ontologies4Cat: Investigating the landscape of ontologies for catalysis research data management,

Journal of Cheminformatics, 2024, vol. 16, p. 16, https://doi.org/10.1186/s13321-024-00807-2

posterA. S. Behr, E. Abbaspour, D. Chernenko, N. Kockmann

Automating research data annotation with ontologies - Current workflows

Annual Digital Catalysis & Catalysis-Related Sciences Conference 2023, 02.-03.11.2023, Frankfurt am Main, Germany

talkA. S. Behr, H. Borgelt, N. Kockmann

Collecting metadata of ontologies for catalysis research – A ‘universal’ approach

Annual Digital Catalysis & Catalysis-Related Sciences Conference 2023, 02.-03.112023, Frankfurt am Main, Germany

talkA. S. Behr, E. Abbaspour, N. Kockmann

Process simulation of biocatalytic reactions supported by ontology-based laboratory data acquisition

4th EnzymeML Workshop - Beilstein Enzymology Symposium 2023, 25.-27.09.2023, Rüdesheim, Germany

talkA. S. Behr, E. Abbaspour, N. Kockmann

Process simulation of biocatalytic reactions supported by ontology-based laboratory data acquisition

14th European Congress of Chemical Engineering and 7th European Congress of Applied Biotechnology, 17.-21.09.2023, Berlin, Germany

posterA. S. Behr, E. Abbaspour, K. Rosenthal, J. Pleiss, N. Kockmann

Ontology-based laboratory data acquisition with EnzymeML for process simulation of biocatalytic reactors,

1st Conference on Research Data Infrastructure (CoRDI) - Connecting Communities, 12.-14.09.2023, Karlsruhe, Germany

talkA. S. Behr, H. Borgelt, T. Petrenko, M. Dörr, N. Kockmann

Investigating the landscape of ontologies for catalysis research data management

1st Conference on Research Data Infrastructure (CoRDI) - Connecting Communities, 12.-14.09.2023, Karlsruhe, Germany

talkA. S. Behr, M. Ben Moussa, M. Völkenrath, N. Kockmann

Natural language processing-based term extraction for concept enrichment of ontologies for catalysis research

56. Jahrestreffen Deutscher Katalytiker, 15.-17032023, Weimar, Germany

talkA. S. Behr, J. Oeing, N. Kockmann

Structured data: Key for AI based techniques from flow and process simulations to P&ID generation

Digitale Technologien in Anlagenbau, Betrieb und Service, 14.02.2023, Frankfurt am Main, Germany

proceedingL. Korel, A. S. Behr, N. Kockmann, M. Holeňa

Using Paraphrasers to Detect Duplicities in Ontologies

Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KEOD, 2023, vol. 15, https://doi.org/10.5220/0012164500003598

journalA. S. Behr, L. Neuendorf, P. Sakthithasan, M. Karan, Q. Fang, K. E. R. Boettcher, C. Terkowsky, N. Kockmann

Uniting knowledge and application in a hybrid laboratory experiment in virtual reality – a cross-reality laboratory with applications of artificial intelligence for industry 4.0

REV 2023 Lecture Notes in Networks and Systems, 2023, vol. 763, https://doi.org/10.1007/978-3-031-42467-0_26

journalA. S. Behr, M. Völkenrath, N. Kockmann

Ontology extension with NLP-based concept extraction for domain experts in catalytic sciences

Knowledge and Information Systems, 2023, vol. 65, p. 5503, https://doi.org/10.1007/s10115-023-01919-1

journalL. Korel, U. Yorsh, A. S. Behr, N. Kockmann, M. Holeňa

Text-to-ontology mapping via natural language processing with application to search for relevant ontologies in catalysis

Computers, 2023, vol. 12, p. 14, 10.3390/computers12010014

talkA. S. Behr, N. Kockmann

Invited Lecture: Modelling knowledge with ontologies for catalysis research

Machine Learning and Modelling Seminar, 29.09.2022, Prague, Czech Republic

talkL. Korel, A. S. Behr, N. Kockmann, M. Holeňa

Using artificial neural networks to determine ontologies most relevant to scientific texts

Information Technologies – Applications and Theory (ITAT 2022), 23.-27.09.2022, Zuberec, Slovakia

talkU. Yorsh, A. S. Behr, N. Kockmann, M. Holeňa

Text-to-ontology mapping via natural language processing models

Information Technologies – Applications and Theory (ITAT 2022), 23.-27.09.2022, Zuberec, Slovakia

Ontologies as base for data integration in process engineering – Update from NFDI4Cat

Ontology-based Data Management and Interoperability: Workflow for Catalysis and Process Research Data

Reac4Cat-Ontology: Harnessing the power of ontological description logic in catalysis research as a practical approach to knowledge inferences

Fluent integration of laboratory data into biocatalytic process simulation using EnzymeML, DWSIM, and ontologies,

Ontologies4Cat: Investigating the landscape of ontologies for catalysis research data management,

Automating research data annotation with ontologies - Current workflows

Collecting metadata of ontologies for catalysis research – A ‘universal’ approach

Process simulation of biocatalytic reactions supported by ontology-based laboratory data acquisition

Process simulation of biocatalytic reactions supported by ontology-based laboratory data acquisition

Ontology-based laboratory data acquisition with EnzymeML for process simulation of biocatalytic reactors,

Investigating the landscape of ontologies for catalysis research data management

Natural language processing-based term extraction for concept enrichment of ontologies for catalysis research

Structured data: Key for AI based techniques from flow and process simulations to P&ID generation

Using Paraphrasers to Detect Duplicities in Ontologies

Uniting knowledge and application in a hybrid laboratory experiment in virtual reality – a cross-reality laboratory with applications of artificial intelligence for industry 4.0

Ontology extension with NLP-based concept extraction for domain experts in catalytic sciences

Text-to-ontology mapping via natural language processing with application to search for relevant ontologies in catalysis

Invited Lecture: Modelling knowledge with ontologies for catalysis research

Using artificial neural networks to determine ontologies most relevant to scientific texts

Text-to-ontology mapping via natural language processing models

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