Communicating Functions and Impacts to Urban Communities: An Ontology for the Infrastructure Construction Industry
Bibliographic record
Abstract
Meeting the community’s needs requires a focus on communicating project functions as the key to enhancing their participation in infrastructure planning and design. Earlier work has established that the representation of knowledge through ontologies can be an effective means of employing social and semantic web technologies as a support platform for community engagement. This research builds on the aforementioned proposal for a semantic community empowerment framework. The current research revisits the representation of product function in the context of construction projects. The resulting representation aims to overcome the limitations of the traditional representation by augmenting economic, cultural, environmental and political dimensions to functions and impacts which are portrayed as complex entities. These dimensions involve a representation of non-tangible and often non-measurable components of utility to which members of the public can relate; hence enhancing threeway communication as part of the participation process. In this paper, the ontology design is documented through a demonstration of a number of concepts: construction products, their functions and impacts, and communication channels. Furthermore, the main services of the Application Programming Interface (API) are discussed as a standard method for exposing the ontology to third-party software developers. Finally, a sample application is proposed as a validation of this semantic framework.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.004 | 0.009 |
| Scholarly communication | 0.006 | 0.009 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".