Integrating Heterogeneous Traveler Information Using Web Services
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
Abstract Various types of information, e.g. weather, road and traffic conditions, can assist travelers in making better-informed decisions about their trips. The information is widely disseminated by distributed data sources and web sites. The integration of such information would provide significant value-added services to travelers, and XML-related technologies have proven to be effective to achieve this goal. This paper aims to design and implement an integrated system to make use of widely distributed traveller information by employing the XML and Simple Object Access Protocol (SOAP) techniques. The prototype system adopts a three-tier architecture and is implemented using integrated Java technologies. The shared XML schema for geo-referenced data provides a foundation for heterogeneous information integration. The XML wrappers, the metadata schema, and the visualization tools were developed to provide information services based on the heterogeneous data sources. Two examples concerning travel information query and route selection, respectively, are presented to illustrate the applicability of the system.
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 | 0.000 | 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 | 0.001 |
| Open science | 0.000 | 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