Chapter
May 24, 2022

Ontology Approach for Building Life Cycle Data Management

Publication: Computing in Civil Engineering 2021

ABSTRACT

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.

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Go to Computing in Civil Engineering 2021
Computing in Civil Engineering 2021
Pages: 737 - 744

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Published online: May 24, 2022

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Authors

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Janakiram Karlapudi [email protected]
1Institute of Construction Informatics, Dept. of Civil Engineering, Technische Universitaet Dresden, Dresden, Saxony, Germany. Email: [email protected]
Prathap Valluru [email protected]
2Institute of Construction Informatics, Dept. of Civil Engineering, Technische Universitaet Dresden, Dresden, Saxony, Germany. Email: [email protected]
Karsten Menzel [email protected]
3Professor, Institute of Construction Informatics, Dept. of Civil Engineering, Technische Universitaet Dresden, Dresden, Saxony, Germany. Email: [email protected]

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