Abstract
Numerous web databases, e.g., amazon.com, eBay.com, are "hidden" behind (i.e., accessible only through) their restrictive search and browsing interfaces. This demonstration showcases HDBTracker, a web-based system that reveals and tracks (the changes of) userspecified aggregate queries over such hidden web databases, especially those that are frequently updated, by issuing a small number of search queries through the public web interfaces of these databases. The ability to track and monitor aggregates has applications over a wide variety of domains - e.g., government agencies can track COUNT of openings at online job hunting websites to understand key economic indicators, while businesses can track the AVG price of a product over a basket of e-commerce websites to understand the competitive landscape and/or material costs. A key technique used in HDBTracker is RS-ESTIMATOR, the first algorithm that can efficiently monitor changes to aggregate query answers over a hidden web database.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1569-1572 |
| Number of pages | 4 |
| Journal | Proceedings of the VLDB Endowment |
| Volume | 7 |
| Issue number | 13 |
| DOIs | |
| State | Published - 2014 |
| Event | Proceedings of the 40th International Conference on Very Large Data Bases, VLDB 2014 - Hangzhou, China Duration: Sep 1 2014 → Sep 5 2014 |
All Science Journal Classification (ASJC) codes
- Computer Science (miscellaneous)
- General Computer Science