Knowledge graph for policy- and practice-aligned life cycle analysis and reporting

The built environment is a key leverage point for policy intervention to combat climate change and the statutory reporting of financial and non-financial indicators over the asset lifecycle is increasingly required. This poses significant information management challenges in a sector characterised by complexity. Contributions to-date which address Life Cycle Asset Information Management (LCAIM) remain siloed and difficult to generalise, resulting in limited in-practice uptake, but domain literature identifies graph databases and ontologies as suitable strategies for addressing this information-intensive challenge. This paper provides a LCAIM ontology, co-developed with stakeholders, and verified technically through implementation in a case study by responding to end-user-defined storage, retrieval, and enrichment functions using a knowledge graph. The prototype is then validated qualitatively with experts who perceive it as addressing collective governance-practice requirements. Overall, the study suggests that addressing technical LCAIM challenges may be feasible using available technologies and recommends prioritising research towards socio-economic issues. • Harmonises governance-practice Life Cycle Asset Information Management requirements. • Develops a stakeholder co-created LCAIM ontology based on these requirements. • Verifies ontology functionality via end-user-generated queries in a knowledge graph. • Validates that collective requirements are met via qualitative stakeholder engagement. • Solves LCAIM challenges using available technology, suggesting a renewed research focus.

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Institutions

Publication Details

Journal
Automation in Construction
Published
2025-05-28
DOI
https://doi.org/10.1016/j.autcon.2025.106282
Citations
3
Primary Topic
Data Quality and Management
Type
article
Field-Weighted Citation Impact
6.32

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article

Knowledge graph for policy- and practice-aligned life cycle analysis and reporting

Cathal Hoare, Flávia de Andrade Pereira, James O’Donnell, Karim Farghaly et al.
3 citations
Automation in Construction
Data Quality and Management
6.32
article

Knowledge graph for policy- and practice-aligned life cycle analysis and reporting

Cathal Hoare, Flávia de Andrade Pereira, James O’Donnell, Karim Farghaly, Conor Shaw, Martijn de Riet
article en
3 citations

Abstract

The built environment is a key leverage point for policy intervention to combat climate change and the statutory reporting of financial and non-financial indicators over the asset lifecycle is increasingly required. This poses significant information management challenges in a sector characterised by complexity. Contributions to-date which address Life Cycle Asset Information Management (LCAIM) remain siloed and difficult to generalise, resulting in limited in-practice uptake, but domain literature identifies graph databases and ontologies as suitable strategies for addressing this information-intensive challenge. This paper provides a LCAIM ontology, co-developed with stakeholders, and verified technically through implementation in a case study by responding to end-user-defined storage, retrieval, and enrichment functions using a knowledge graph. The prototype is then validated qualitatively with experts who perceive it as addressing collective governance-practice requirements. Overall, the study suggests that addressing technical LCAIM challenges may be feasible using available technologies and recommends prioritising research towards socio-economic issues. • Harmonises governance-practice Life Cycle Asset Information Management requirements. • Develops a stakeholder co-created LCAIM ontology based on these requirements. • Verifies ontology functionality via end-user-generated queries in a knowledge graph. • Validates that collective requirements are met via qualitative stakeholder engagement. • Solves LCAIM challenges using available technology, suggesting a renewed research focus.

Automation in ConstructionVol. 176
University College Dublin (IE), Centerforce (US), University College London (GB)
Horizon 2020 Framework Programme, H2020 Marie Skłodowska-Curie Actions
Zero hunger
Openalex Percentile: Top 4%
Data Quality and Management
6.32
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