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