Modular Implementation of an Ontology-Driven Multimedia Content Delivery Application for Mobile Networks
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
Today, mobile multimedia applications provide customers with only limited means to define what information they wish to receive. However, customers would prefer to receive content that reflects specific personal interests. In this chapter we present a prototype multimedia application that demonstrates personalised content delivery using the multimedia messaging service (MMS) protocol. The development of the application was based on the multimedia middleware framework METIS, which can be easily tailored to specific application needs. The principle application logic was constructed through three indepdent modules, or “plug-ins” that make use of METIS and its underlying event system: the harverster module, which automatically collects multimedia content from configured RSS feeds, the news module, which builds custom content based on user preferences, and the MMS module, which is reponsible for broadcasting the resulting multimedia messages. Our experience with the implementation demonstrated the rapid and modular development made possible by such a flexible middleware framework.
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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 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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