• DE
  • EN
  • FR
  • International Database and Gallery of Structures

Advertisement

BIM-linked data integration for asset management

Author(s):



Medium: journal article
Language(s): en 
Published in: Built Environment Project and Asset Management, , n. 4, v. 9
Page(s): 489-502
DOI: 10.1108/bepam-11-2018-0136
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.

Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1108/bepam-11-2018-0136.
  • About this
    data sheet
  • Reference-ID
    10367229
  • Published on:
    27/08/2019
  • Last updated on:
    27/08/2019