Exploiting Run-Time Information for Efficient Processing of Queries

Craig A. Knoblock and Alon Y. Levy

Information agents answer user queries using a large number of diverse information sources. The key issue in their perfomance is finding the set of information sources relevant to a query. Previous work has considered determining relevance soley based on compile-time analysis of the query. We argue that at compile-time, it is often not possible to significantly prune the set of sources relevant to a query, and that run-time information is needed. We make the following contributions. First, we identify the different types of information that can be obtained at run-time, and how they can be used to prune information sources. Second, we describe an algorithm which naturally extends query planning algorithms to exploit run-time information. Third, we describe the discrimination matrix, which is a data structure that identifies the information that can be used to help discriminate between different possible sources.


This page is copyrighted by AAAI. All rights reserved. Your use of this site constitutes acceptance of all of AAAI's terms and conditions and privacy policy.