A Multi-Viewpoint Approach For Semantic Multimedia Documents Adaptation
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Multimedia documents have to be played on multiple device types.Hence, a user not disabled or handicapped requires document adaptation according to execution contexts.Currently, advanced technological hardware can offer mobile devices, which fit in the hand with the capacity to consult documents at anytime and anywhere.Multiple user context constraints as well as mobile device capabilities may involve the adaptation of multimedia content.In this article, the authors propose a new Multi-viewpoints ontological-based method for adapting multimedia documents; each viewpoint of de multimedia document could correspond to a physical handicap and therefore triggers an adaptation action using multiviewpoint ontological reasoning.Our proposed ontology has the great advantage to offer to users a flexible infrastructure to easily govern the response time and the quality assembly of their applications at runtime.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it