TY - JOUR
T1 - Knowledge graph for policy- and practice-aligned life cycle analysis and reporting
AU - Shaw, Conor
AU - de Andrade Pereira, Flávia
AU - de Riet, Martijn
AU - Hoare, Cathal
AU - Farghaly, Karim
AU - O'Donnell, James
N1 - Publisher Copyright:
© 2025 The Authors
PY - 2025/8
Y1 - 2025/8
N2 - 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.
AB - 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.
KW - Asset management
KW - Environmental policy
KW - Information management
KW - Knowledge graph
KW - Life cycle assessment
KW - Ontology engineering
KW - Requirements engineering
UR - https://www.scopus.com/pages/publications/105006751000
U2 - 10.1016/j.autcon.2025.106282
DO - 10.1016/j.autcon.2025.106282
M3 - Article
AN - SCOPUS:105006751000
SN - 0926-5805
VL - 176
JO - Automation in Construction
JF - Automation in Construction
M1 - 106282
ER -