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An approach to process geometric and semantic information as open graph-based description using a microservice architecture on the example of structural data

Huyeng, Tim-Jonathan ; Thiele, Christian-Dominik ; Wagner, Anna ; Shi, Meiling ; Hoffmann, André ; Sprenger, Wendelin ; Rüppel, Uwe
Hrsg.: Ungureanu, Lucian Constantin ; Hartmann, Timo (2020)
An approach to process geometric and semantic information as open graph-based description using a microservice architecture on the example of structural data.
EG-ICE 2020 Workshop on Intelligent Computing in Engineering. Berlin
doi: 10.14279/depositonce-9977
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

The advancing digitalization in the building industry highlights weak points in the digital infrastructure. Due to heterogeneous software landscapes, cross-application data exchange, in particular, is a frequently criticized process for which no satisfying solution exists, so far. To overcome interoperability difficulties, open and application-independent data formats are necessary and the communication between software applications needs to be standardized. For the first aspect, the current research project SCOPE investigates the extent to which Semantic Web can be used as an alternative to conventional approaches. The ontologies developed and applied in the research project focus on geometry descriptions, the linking of geometric and non-geometric contents and the abstract description of building products. The second, overarching aspect is addressed by defining an underlying architecture. Hence, a microservice structure is proposed that allows the data to be extended and enriched with the help of the aforementioned ontologies.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2020
Herausgeber: Ungureanu, Lucian Constantin ; Hartmann, Timo
Autor(en): Huyeng, Tim-Jonathan ; Thiele, Christian-Dominik ; Wagner, Anna ; Shi, Meiling ; Hoffmann, André ; Sprenger, Wendelin ; Rüppel, Uwe
Art des Eintrags: Bibliographie
Titel: An approach to process geometric and semantic information as open graph-based description using a microservice architecture on the example of structural data
Sprache: Englisch
Publikationsjahr: 30 Juni 2020
Ort: Berlin
Verlag: Universitätsverlag der TU Berlin
Veranstaltungstitel: EG-ICE 2020 Workshop on Intelligent Computing in Engineering
Veranstaltungsort: Berlin
DOI: 10.14279/depositonce-9977
URL / URN: http://dx.doi.org/10.14279/depositonce-9977
Kurzbeschreibung (Abstract):

The advancing digitalization in the building industry highlights weak points in the digital infrastructure. Due to heterogeneous software landscapes, cross-application data exchange, in particular, is a frequently criticized process for which no satisfying solution exists, so far. To overcome interoperability difficulties, open and application-independent data formats are necessary and the communication between software applications needs to be standardized. For the first aspect, the current research project SCOPE investigates the extent to which Semantic Web can be used as an alternative to conventional approaches. The ontologies developed and applied in the research project focus on geometry descriptions, the linking of geometric and non-geometric contents and the abstract description of building products. The second, overarching aspect is addressed by defining an underlying architecture. Hence, a microservice structure is proposed that allows the data to be extended and enriched with the help of the aforementioned ontologies.

Freie Schlagworte: advanced computing, advanced computing in engineering, BIM, engineering ontologies, engineering optimisation, fortgeschrittenes Rechnen, Ingenieurwesen-Ontologien, Ingenieurwesen-Optimierung, Lebenszyklus-Design-Unterstützung, life-cycle design support
Fachbereich(e)/-gebiet(e): 13 Fachbereich Bau- und Umweltingenieurwissenschaften
13 Fachbereich Bau- und Umweltingenieurwissenschaften > Institut für Numerische Methoden und Informatik im Bauwesen
Hinterlegungsdatum: 22 Jul 2020 05:11
Letzte Änderung: 04 Jan 2021 14:06
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