Proceedings of the 23rd Brazilian symposium on Databases
Bibliographic record
Abstract
It is my great pleasure to present the Proceedings of this 23rd Brazilian Symposium on (SBBD), which will be held in Campinas, Brazil, from 13 to 15 October 2008, in conjuction with the 22nd Brazilian Symposium on Software Engineering (SBES). SBBD is the official database event of the Brazilian Computer Society (SBC). It is currently the largest venue in Latin America for presentation and discussion of research results in the database domain. SBBD joins researchers, students and practitioners, from Brazil and abroad, for discussing problems related to the main topics in modern database technologies. Since 1998, SBBD is organized in cooperation with ACM SIGMOD, and its proceedings appear in the SIGMOD/Disc Series. Also for the first time, this edition of SBBD has been organized in two tracks, a Research Track and an Applications and Experiences Track. The Research Track covers all the aspects related to the development of new technologies for solving problems inherent to the database field and the Applications and Experiences Track accepted papers proposing to adapt existing database technologies in some specific context, innovative commercial database implementations as well as reports and analysis of experiences in applying recent research advances in database to practical situations. The Research Track received 49 paper submissions from 7 different countries (Brazil, Argentine, Italy, Portugal, Switzerland, USA and Canada) and the Applications Track, on the other hand, received 35 paper submissions coming from 6 countries (Brazil, Colombia, Chile, France, Italy and Switzerland). Each paper was reviewed by at least 3 PC members together with a group of external reviewers, according to specific evaluation criteria for each track. Based on these reviews, 14 papers among those submitted to the Research Track and 7 papers among those submitted to the Applications Track have been accepted (an acceptance rate of 28% and 20% respectively) resulting in a global acceptance rate of 25% for both tracks. In addition to the technical papers sessions, the Symposium includes the presentation of 3 tutorials and 3 invited talks: Building a Digital Library for the Brazilian Computer Science Community: Challenges and Opportunities by Alberto Laender (DCC/ UFMG - Brazil), Databases and the Global Climate Change by Gilberto Camara (National Institute of Space Research - Brazil) and Complex Analysis Tasks for Multidimensional Data by Nikos Mamoulis (University of Hong Kong). In parallel, the SBBD hosts the Database Thesis Forum (WTDBD) that allows PhD and MSc students to present and discuss their ongoing research, the Demo Session which aims at presenting software tools developed at Brazilian universities and a Poster Session in its second edition. As in past years since 1998, SBBD 2008 will distinguish the best paper on the symposium with the Jose Mauro de Castilho Award. The best selected papers as well as the award winner will be announced at the SBBD/SBES Official Ceremony. Besides this, the authors of the SBBD's best papers will be invited to submit extended and revised versions of their papers to a special issue of Elsevier Information Sciences, a highly prestigious international journal in our field.
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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 | 0.006 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.011 | 0.007 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.108 | 0.064 |
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".