Farghaly, K; Abanda, F H; Vidalakis, C and Wood, G (2019) BIM-linked data integration for asset management. Built Environment Project and Asset Management, 9(4), pp. 489-502. ISSN 2044-124X
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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | asset management; BIM; building lifecycle; building maintenance; information exchange; information management |
| Index terms: | information exchange, ontology, research design, asset management, focus group, action research, building maintenance, platform, software development, building information modelling, interview, publication, vocabularies, lifecycle, integration, evolution, mapping, prototyping, methodology, best practice |
| Subjects: | knowledge organization and systems, environmental science, data science, innovation and technology management, project delivery, construction type, research dissemination and communication, data collection methods, research design and methodology, business, information systems, organizational analysis, asset management, digital design, education and knowledge transfer, research methods, software systems, spatial and geospatial analysis |
| Topics: | Organizational Design, Digital Applications, Construction Technology, Sustainability, Research Practice, Project Management, Engineering Principles, Information Management, Business Strategy |
| Descriptive scope: | 4 PCTE |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here