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Similarity Measurement for Ontology Based Product Configurations

Baumbach, Niklas and Peters, Diana and Humbla, Stefan and Wagner, Lars (2020) Similarity Measurement for Ontology Based Product Configurations. SECESA 2020, 30. Sept. - 02. Okt. 2020, Online.

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Many technical devices are complex systems with a wide range of configuration options. Such options can be selected, but not independently and with restrictions and implications. The matching between customers requirements to existing configurations that a supplier can build with sensible effort and technical limitations is currently mostly done manually based on experience. In this paper, we present an approach to automate this matching, based on ontologies and (tailored) similarity measures. We explain an implementation that works on a reduced parameter set for star trackers, based on the example of ASTRO APS® from Jena­Optronik GmbH. This system is able to automatically suggest the best fitting and buildable configuration for any requirement configuration and we point out possible ways to extend it in the future.

Item URL in elib:https://elib.dlr.de/136801/
Document Type:Conference or Workshop Item (Speech)
Title:Similarity Measurement for Ontology Based Product Configurations
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Baumbach, NiklasFSU JenaUNSPECIFIED
Peters, DianaDiana.Peters (at) dlr.dehttps://orcid.org/0000-0002-5855-2989
Humbla, StefanJena-OptronikUNSPECIFIED
Wagner, LarsJena-OptronikUNSPECIFIED
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Keywords:Ontology Space Supplier Manufacturing Similarity Configuration
Event Title:SECESA 2020
Event Location:Online
Event Type:international Conference
Event Dates:30. Sept. - 02. Okt. 2020
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:other
DLR - Research area:Raumfahrt
DLR - Program:R - no assignment
DLR - Research theme (Project):R - no assignment
Location: Jena
Institutes and Institutions:Institute of Data Science > Secure Digital Systems
Deposited By: Peters, Diana
Deposited On:26 Oct 2020 08:26
Last Modified:26 Oct 2020 08:26

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