Modelling geospatial application databases using UML-based repositories aligned with international standards in geomatics
Bibliographic record
Abstract
This paper presents the result of recent work on the use of geospatial repositories to store the conceptual content of object oriented application database schemas and dictionaries aligned with international standards in geographic information (ISO/TC 211 and OGC). According to software engineering and database concepts, a geospatial repository can be defined as a collection of (meta) data structured in a manner to provide information about the semantics, geometry, temporality, and the integrity constraint of data stored in a geospatial database. For the last 6 years, ISO/TC 211 and OGC have been developing standards about geographic information to enable access and interoperability of geographic information; parts of these standards impact directly on geospatial repositories. Our work demonstrates that it is possible to develop a geospatial repository aligned with these standards and to implement it in a UML-based visual modelling tool.
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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 | 0.013 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.009 | 0.011 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".