BIM-linked data integration for asset management. Issue 4 (9th September 2019)

• Record Type: Journal Article
• Authors: Farghaly, Karim; Abanda, F.H.; Vidalakis, Christos; Wood, Graham
• Is Part Of: Built environment project and asset management. Volume 9:Issue 4(2019)
• Page Start: 489
• Page End: 502
• Publication Date: 2019-09-09
• Subjects: BIM -- Building maintenance -- Asset management -- Information management -- Information exchange -- Building lifecycle; Construction industry -- Management -- Periodicals; Construction projects -- Management -- Periodicals; Public works -- Management -- Periodicals; Sustainable buildings -- Periodicals; 624.068
• DOI: 10.1108/BEPAM-11-2018-0136
• Languages: English
• ISSNs: 2044-124X

Abstract

Abstract : Purpose: The purpose of this paper is to investigate the transfer of information from the building information modelling (BIM) models to either conventional or advanced asset management platforms using Linked Data. To achieve this aim, a process for generating Linked Data in the asset management context and its integration with BIM data is presented. Design/methodology/approach: The research design employs a participatory action research (PAR) approach. The PAR approach utilized two qualitative data collection methods, namely; focus group and interviews to identify and evaluate the required standards for the mapping of different domains. Also prototyping which is an approach of Software Development Methodology is utilized to develop the ontologies and Linked Data. Findings: The proposed process offers a comprehensive description of the required standards and classifications in construction domain, related vocabularies and object-oriented links to ensure the effective data integration between different domains. Also the proposed process demonstrates the different stages, tools, best practices and guidelines to develop Linked Data, armed with a comprehensive use case Linked Data generation about building assets that consume energy. Originality/value: The Linked Data generation and publications in the domain of AECO is still in its infancy and it also needs methodological guidelines to support its evolution towards maturity in its processes and applications. This research concentrates on the Linked Data applications with BIM to link across domains where few studies have been conducted.