Articles

The Language of Buildings: How Ontologies Are Transforming Facility Intelligence

What is it: Ontologies—formal, shared vocabularies that define things (assets, spaces, systems) and their relationships—let building data “mean” the same thing across BIM, CMMS, BMS, and digital twins. When an AHU, a work order, and an energy record all reference the same ontology, software can link, reason, and automate decisions across the lifecycle.

This MDPI Buildings article maps two decades of research on Semantic Web in AEC/FM, showing the shift from file-based BIM exchange toward linked data, knowledge graphs, and AI reasoning for interoperability and FM intelligence. It proposes future directions around standard ontologies, governance, and cross-disciplinary collaboration. Source: https://www.mdpi.com/2075-5309/15/21/3845

Stakeholder Audience: Architecture, Engineering & Construction (AEC), Building Operations, Corporate-Institutional Owners, Technology Providers-Integrators, IT/Cybersecurity, Service Providers-Consultants, Trade-Professional-Standards Bodies.

Inform or Action: Informational. Teams exploring digital twins, portfolio analytics, or multi-system data integration can use this roadmap to prioritize ontology alignment, data governance, and interoperability plans that support Building Lifecycle Management (BLM). See blmi.org for background on lifecycle frameworks.

Read More: https://www.mdpi.com/2075-5309/15/21/3845. MDPI

#BLMI #IFMA #Autodesk #MDPI #BuildingsJournal #Ontology #SemanticWeb #KnowledgeGraphs #BIM #DigitalTwin #Interoperability #FacilityManagement #DataStandards

Evolution of Digital Twin Applications in Construction and the Built Environment

What is it: A new research paper in Intelligent Buildings International explores how digital twin (DT) technologies are transforming the built environment, moving from visualization tools to integrated systems that support predictive performance and lifecycle optimization. The study identifies three major areas of growth:

1. Intelligent building representation: the shift from static BIM models to dynamic, data-driven twins that mirror real-world performance in real time.

2. Asset monitoring and management: increasing use of DTs for predictive maintenance, energy efficiency, and user comfort.

3. Active building systems and interoperability: integrating IoT, AI, and cloud platforms to close the loop between design, construction, and operations.

Stakeholder Audience: Building Owners, Real Estate Investors, Facility Operators, AEC Firms, Technology Providers, Sustainability and ESG Leaders, Standards and Policy Bodies.

Inform or Action: Informational—advises strategic alignment. Stakeholders should evaluate how their digital twin strategies can better connect with Building Lifecycle Management (BLM) principles of data governance, interoperability, and shared value creation.

Why it matters for BLM: Digital twins are evolving into the connective tissue of the building lifecycle, turning fragmented data into coordinated intelligence. For BLMI, this reinforces a key principle: lifecycle performance depends on continuous feedback between design intent, operational data, and asset renewal. By linking DT ecosystems to BLM-aligned frameworks—common data environments, performance contracts, and governance standards—organizations can unlock measurable outcomes: reduced carbon impact, lower total cost of ownership, and improved occupant experience. The future of asset value lies not just in what buildings are, but in how their digital counterparts learn and adapt over time.

Read the full article: 
Adeniyi, O., Rathnasiri, P., Ojo, L. D., Akindehinde, A., & Thurairajah, N. (2025). The evolution of digital twin applications in construction and the built environment: analysis of trends, research clusters and future directions. Intelligent Buildings International, 1–29.
https://doi.org/10.1080/17508975.2025.2558616

#BLMI #IFMA #Autodesk #DigitalTwin #SmartBuildings #BuiltEnvironment #AssetManagement #DataGovernance #Interoperability #ESG #FacilityManagement