Publications
Optimizing information agents by selectively materializing data
Abstract
We present an approach for optimizing the performance of information agents by materializing useful information. A critical problem with information agents, particularly those gathering and integrating information from Web sources is a high query response time. This is because the data needed to answer user queries is present across several different Web sources (and in several pages within a source) and retrieving, extracting and integrating the data is time consuming.
- Date
- 1998
- Authors
- Craig Knoblock
- Journal
- PROCEEDINGS OF THE NATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE