Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Wiedau, Michael | - |
dc.contributor.author | Tolksdorf, Gregor | - |
dc.contributor.author | Oeing, Jonas | - |
dc.contributor.author | Kockmann, Norbert | - |
dc.date.accessioned | 2022-03-04T13:57:35Z | - |
dc.date.available | 2022-03-04T13:57:35Z | - |
dc.date.issued | 2021-11-15 | - |
dc.identifier.uri | http://hdl.handle.net/2003/40765 | - |
dc.identifier.uri | http://dx.doi.org/10.17877/DE290R-22622 | - |
dc.description.abstract | Current methods of artificial intelligence may often proof ineffective in the process industry, usually because of insufficient data availability. In this contribution, we investigate how data standards can contribute to fulfill the data availability requirements of machine learning methods. We give an overview of AI use cases relevant in the process industry, name related requirements and discuss known standards in the context of implicit vs. explicit data. We conclude with a roadmap sketching how to bring the results of this contribution into practical application. | en |
dc.language.iso | en | de |
dc.relation.ispartofseries | Chemie - Ingenieur - Technik;93(12) | - |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | - |
dc.subject | Artificial intelligence | en |
dc.subject | Data integration | en |
dc.subject | KEEN project | en |
dc.subject | Ontology | en |
dc.subject | Process industry | en |
dc.subject.ddc | 660 | - |
dc.title | Towards a systematic data harmonization to enable AI application in the process industry | en |
dc.type | Text | de |
dc.type.publicationtype | article | de |
dcterms.accessRights | open access | - |
eldorado.secondarypublication | true | de |
eldorado.secondarypublication.primaryidentifier | https://doi.org/10.1002/cite.202100203 | de |
eldorado.secondarypublication.primarycitation | Wiedau, M., Tolksdorf, G., Oeing, J. and Kockmann, N. (2021), Towards a Systematic Data Harmonization to Enable AI Application in the Process Industry. Chemie Ingenieur Technik, 93: 2105-2115. https://doi.org/10.1002/cite.202100203 | de |
Appears in Collections: | Arbeitsgruppe Apparatedesign |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Chemie Ingenieur Technik - 2021 - Wiedau - Towards a Systematic Data Harmonization to Enable AI Application in the Process.pdf | DNB | 1.72 MB | Adobe PDF | View/Open |
This item is protected by original copyright |
This item is licensed under a Creative Commons License