An Ontology for the Reuse and Tracking of Prefabricated Building ComponentsShow others and affiliations
2024 (English)In: Proceedings - The 2nd International Workshop on Knowledge Graphs for Sustainability (KG4S 2024), Hersonissos, Greece, May 27th, 2024: colocated with the 21st Extended Semantic Web Conference (ESWC 2024) / [ed] Eva Blomqvist, Raúl García-Castro, Daniel Hernández, Pascal Hitzler, Mikael Lindecrantz, María Poveda-Villalón, RWTH Aachen University , 2024, Vol. 3753, p. 53-64Conference paper, Published paper (Refereed)
Abstract [en]
Several assessment methodologies have been proposed to measure the environmental impact of buildings. However, these methodologies require processing data which is often not available or requires a high integration effort. In this paper, we propose an ontology to describe the use and reuse of prefabricated components in buildings. This ontology describes the relation between the physical object, the building component, with the digital object that represents the element in the building information model. We show that this ontology can be used to answer questions like which building components have been reused and which activities were involved in the life cycle of a building.
Place, publisher, year, edition, pages
RWTH Aachen University , 2024. Vol. 3753, p. 53-64
Series
CEUR Workshop Proceedings, ISSN 1613-0073
Keywords [en]
component reuse, sustainability, precast concrete, circular economy, ontologies, asset tracking
National Category
Computer and Information Sciences Building Technologies
Research subject
Civil and Architectural Engineering; Civil and Architectural Engineering, Concrete Structures; Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-352823Scopus ID: 2-s2.0-85204297371OAI: oai:DiVA.org:kth-352823DiVA, id: diva2:1895828
Conference
2nd International Workshop on Knowledge Graphs for Sustainability, KG4S 2024, May 27, 2024, Hersonissos, Greece
Note
This work was partially funded by the European Union’s Horizon 2020 research and innovationprogram, GA 958200 (ReCreate project); the Deutsche Forschungsgemeinschaft (DFG): Germany’s Excellence Strategy – EXC 2120/1, GA 390831618 (RP20); and the DFG: SPP 1921, GA318363223 (COFFEE project STA 572_15-2).
QC 20240930
2024-09-072024-09-072024-09-30Bibliographically approved