Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Ontology Approach for Building Life Cycle Data Management
The architecture, engineering, and construction industry involves multiple disciplines and activities throughout the building life cycle stages (BLS). To enable collaboration amongst these disciplines iterative and coordinated exchange of information is required. This improves the design process over multiple BLS. Since the last decade, BIM is a well-known approach to achieve collaboration through semantic representation and exchange of domain data. Despite the improvement, there is a lack of efficient implementation and management of building life cycle functionalities in existing BIM solutions, because of their fundamental heterogeneity, complexity, and adaptability. This research focuses on these issues and addresses a clear perception through analysis of BLS from various standards and norms. The paper concentrates on the demonstration of efficient representation of various BLS through the ontological approach and their effective involvement in BIM data management. With the validation and evaluation through SPARQL queries, this paper presents an ontological framework for building life cycle data management.
Ontology Approach for Building Life Cycle Data Management
The architecture, engineering, and construction industry involves multiple disciplines and activities throughout the building life cycle stages (BLS). To enable collaboration amongst these disciplines iterative and coordinated exchange of information is required. This improves the design process over multiple BLS. Since the last decade, BIM is a well-known approach to achieve collaboration through semantic representation and exchange of domain data. Despite the improvement, there is a lack of efficient implementation and management of building life cycle functionalities in existing BIM solutions, because of their fundamental heterogeneity, complexity, and adaptability. This research focuses on these issues and addresses a clear perception through analysis of BLS from various standards and norms. The paper concentrates on the demonstration of efficient representation of various BLS through the ontological approach and their effective involvement in BIM data management. With the validation and evaluation through SPARQL queries, this paper presents an ontological framework for building life cycle data management.
Ontology Approach for Building Life Cycle Data Management
Karlapudi, Janakiram (Autor:in) / Valluru, Prathap (Autor:in) / Menzel, Karsten (Autor:in)
ASCE International Conference on Computing in Civil Engineering 2021 ; 2022 ; Orlando, Florida
Computing in Civil Engineering 2021 ; 737-744
24.05.2022
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Ontology Approach for Building Life Cycle Data Management
| British Library Conference Proceedings | 2021
Ontology Approach for Building Life Cycle Data Management
| TIBKAT | 2022
Building Life Cycle Management
Springer Verlag | 2021