Towards an ontology for holistic building occupant information modelling
Bibliographic record
Abstract
Abstract Occupant behaviour (OB) is a critical factor affecting the building performance from aspects such as energy/comfort management, emergency planning, space management, and safety/security. Several ontologies were previously developed to formalize modelling/exchanging occupant-related information for each of these applications. The present study aims to provide a holistic occupant ontology to support integrated building management solutions. Rather than offering a brand new ontology, we integrate the existing models, and create the linkages required for semantic integration among them. Two main dimensions framing our occupant ontology include: building function and occupancy information. We mapped the available ontologies (within and outside the domain of OB), to capture existing gaps for semantic integration across multiple use-cases, within each of these dimensions. The gaps were then translated into competency questions, and from there, we developed meta-classes and relations required for the high-level occupant ontology. Upon the completion and deployment, the proposed occupant ontology can result in better information exchange and integration with building simulation models for various use-cases.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".