Linked-Data based Constraint-Checking (LDCC) to support look-ahead planning in construction

Ranjith K. Soman*, Miguel Molina-Solana, Jennifer K. Whyte

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

22 Citations (Scopus)

Abstract

In the construction sector, complex constraints are not usually modeled in conventional scheduling and 4D building information modeling software, as they are highly dynamic and span multiple domains. The lack of embedded constraint relationships in such software means that, as Automated Data Collection (ADC) technologies become used, it cannot automatically deduce the effect of deviations to schedule. This paper presents a novel method, using semantic web technologies, to model and validate complex scheduling constraints. It presents a Linked-Data based Constraint-Checking (LDCC) approach, using the Shapes Constraint Language (SHACL). A prototype web application is developed using this approach and evaluated using an OpenBIM dataset. Results demonstrate the potential of LDCC to check for constraint violation in distributed construction data. This novel method (LDCC) and its first prototype is a contribution that can be extended in future research in linked-data, BIM based rule-checking, lean construction and ADC.

Original languageEnglish
Article number103369
Number of pages16
JournalAutomation in Construction
Volume120
Issue number16
DOIs
Publication statusPublished - 2020
Externally publishedYes

Keywords

  • Constraints
  • Dynamic constraint-checking
  • Linked-data
  • Linked-data based Constraint-Checking (LDCC)
  • Scheduling constraints
  • Shapes constraint language (SHACL)

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