A standard-based ontology network for information requirements in digital construction projects

This GitHub repository contains the LOIN, DT, and IsoProps ontologies harmonized with the standardization body for managing information requirements in digital construction projects and aligned with each other into an ontology network. The work is presented in the paper "A standard-based ontology network for information requirements in digital construction projects" by M. Mellenthin Filardo ORCID logo, L. Liu ORCID logo, P. Hagedorn ORCID logo, S. Zentgraf ORCID logo, J. Melzner ORCID logo, and M. König ORCID logo. This study showed the integration potentials of the standards for LOIN, Data Templates (DT), and properties in interconnected data dictionaries (ISOProps) using an alignment of modular ontologies. By cross-referencing and class and property equivalency mechanisms, three ontologies were successfully integrated into an aligned ontology network for exhaustively describing and defining properties as well as construction objects harmonized with the analyzed standards ISO 7817, ISO 23386, ISO 23387, as well as indirectly regarding ISO 12006 and ISO 19650 standard series.

Abstract:

In digital construction projects, precise requirements are crucial for sharing relevant information and producing project deliverables that adhere to standards and regulations within the architecture, en- gineering, construction, and operation domain. These information requirements still often remain in semi-structured textual documents and are hardly machine-readable to support the process of information provision and validation. Therefore, in this paper, the relevant normative framework consisting of the Level Of Information Need (LOIN), Data Templates (DT), and properties from building codes is analyzed, and formal representations of corresponding ontologies are aligned to seamlessly use the standardized framework in digital construction projects. The alignment is done according to best practices and methodologies from the Semantic Web research domain. The resulting aligned ontology network is demonstrated in a use case for checking fire safety regulations.