An algebra for the spatio-temporal representation and manipulation of the semantics of mobile object trajectories
Bibliographic record
Abstract
Nowadays, the increasing development of positioning andwireless communication technologies favors a better real-time integrationand manipulation of large spatial databases. This oers many newopportunities for the development of trajectory databases, but a numberof research challenges are still open as the generated information isoften unstructured, continuous, large and sometimes unpredictable. Theresearch presented in this paper develops a modeling approach that integratesthe semantic, spatial and temporal dimensions when representingspatial trajectories at the abstract and logical levels. A data manipulationlanguage that supports the querying and analysis of large trajectorydatabases is also proposed. The spatial database model is based on algebraicdata types, and a prototype is developed on top of the DBMSPostgreSQL/PostGIS. The whole approach and the prototype developmenthave been experimented and applied to benchmark transportationdata derived from an origin-destination survey in the region of Quebecin Canada.
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 | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.002 |
| 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".