Keyword-based search services have become necessary tools for finding information
resources on the Internet today. The rapid growth of information on the Internet renders …

A multi-database model of distributed information retrieval is presented, in which people are
assumed to have access to many searchable text databases. In such an environment, full …

Published methods for distributed information retrieval generally rely on cooperation from
search servers. But most real servers, particularly the tens of thousands available on the …

Federated search (federated information retrieval or distributed information retrieval) is a
technique for searching multiple text collections simultaneously. Queries are submitted to a …

Applying information retrieval techniques to the World Wide Web (WWW) environment is a
challenge, mostly because of its hypertext/hypermedia nature and the richness of the meta …

The wide popularity of free-and-easy keyword based searches over World Wide Web has
fueled the demand for incorporating keyword-based search over structured databases …

The proliferation of searchable text databases on local area networks and the Internet
causes the problem of finding information that may be distributed among many disjoint text …

Publisher Summary This chapter presents an algorithm to derive content summaries from
“uncooperative” databases by using “focused query probes,” which adaptively zoom in on …

The dozens of existing search tools and the keyword-based search model have become the
main issues of accessing the ever growing WWW. Various ranking algorithms, which are …

Federated search links multiple search engines into a single, virtual search system. Most
prior research of federated search focused on selecting search engines that have the most …