Survey Identifies Gaps in Semantic Models for Building Energy Management Systems
A comprehensive survey of 60 semantic models and over 20 ontology-based use cases finds that current approaches to Building Energy Management (BEM) consistently represent physical structures and sensing devices but fall short on abstract operational concepts like control logic, optimization tasks, and performance indicators. The study introduces two new metrics—Ontology Instantiation Rate (OIR) and Ontology Evidence Completeness (OEC)—to more rigorously assess how well ontologies are actually applied in practice. These gaps limit the development of interoperable, autonomous, and context-aware BEM systems, which are critical for reducing energy use and CO2 emissions in the building sector.
Published on arXiv and covering the operational phase of building management, this 52-page survey systematically reviews semantic modeling approaches used in Building Energy Management, a field increasingly reliant on IoT-generated data. Researchers examined 60 semantic models and analyzed more than 20 ontology-based BEM use cases, finding that while physical building structure, technical systems, and observable sensor data are well-represented, more abstract and dynamic concepts remain inconsistently covered. Concepts including key performance indicators, assessments, services, control logic, optimization tasks, and computational workflows are notably underserved by existing ontologies. To address the lack of rigorous evaluation standards, the authors introduce Ontology Instantiation Rate (OIR) and Ontology Evidence Completeness (OEC) as new measures of how thoroughly and explicitly ontologies are mapped to real operational concepts. The survey finds that applied BEM studies frequently compensate for coverage gaps through ontology reuse, integration, specialization, or application-specific extensions, which undermines broader interoperability. The authors argue that closing these gaps is essential for enabling generalisable, autonomous BEM applications capable of meaningfully contributing to building-sector decarbonization.
What's missing
The survey's scope is limited to the building operational phase and does not address semantic modeling during design or construction phases. The generalizability of the OIR and OEC metrics to domains outside BEM has not been validated.
What different sources said
- arXiv cs.AICenter
A Survey on Semantic Modeling for Building Energy Management
Related
Gut Bacteria Enzyme Found to Break Down Heat-Processed Food Compounds, Producing Novel Biogenic Amines
Researchers have discovered that an enzyme in common gut bacteria can degrade N-epsilon-carboxymethyllysine (CML), a compound formed during thermal food processing, producing previously unknown biogenic amines. The enzyme, ornithine decarboxylase SpeC from enterobacteria, acts on CML and related modified lysine derivatives through a low-level 'underground' catalytic activity. This finding suggests a previously unrecognized communication axis between thermally processed dietary compounds and gut microbial physiology, with potential implications for host health.
Full-Length Gene Sequencing Reveals Two Distinct Bacterial Communities in Black-Legged Ticks Expanding Into Canada
Researchers used Oxford Nanopore full-length 16S rRNA gene sequencing to characterize the microbiome of Ixodes scapularis black-legged ticks collected in Nova Scotia, Canada, distinguishing between tick-adapted bacteria and environmentally acquired bacteria. The study comes as I. scapularis — the primary vector of Lyme disease — is rapidly expanding northward into Canada due to climate change. The findings suggest that environmentally derived bacteria in tick microbiomes are not mere contamination, which has implications for how tick microbiome data is collected and interpreted across surveillance studies.
Study Identifies Metabolic Link Between Cell Envelope Stress and Biofilm Formation in Bacteria
Researchers have discovered that the metabolite acetyl-CoA directly inhibits enzymes that degrade the bacterial signaling molecule c-di-GMP, connecting cell envelope biosynthesis stress to biofilm formation in Pseudomonas aeruginosa. The study found that sub-inhibitory concentrations of antibiotics targeting early peptidoglycan biosynthesis — but not other antibiotic classes — elevate c-di-GMP levels by reducing phosphodiesterase activity, with acetyl-CoA competing for the enzyme active site. Because the relevant enzyme domain is broadly conserved across bacterial species, this checkpoint mechanism may be widespread and could have implications for understanding antibiotic-induced biofilm responses.