MIT Department of Electrical Engineering & Computer Science
Querying Multiple Sources across the Internet
Luis Gravano
Stanford University
Wednesday, April 23, 1997
4:00 PM (3:45 refreshments)
Room NE43-518
EECS Special Seminar
Abstract
Information sources are available everywhere, both within the internal
networks of organizations and on the Internet. To evaluate a query
over many such sources and give the users the illusion of a single,
large source, we need to perform three main tasks. First, we need to
choose the best sources to evaluate a query. Second, we have to submit
the query to these sources. Third, we need to merge the query results
from the sources. I will first describe GlOSS, a scalable system that
chooses the best document sources for a query. The GlOSS information
about each source is orders of magnitude smaller than the source
contents. I will also give an overview of the design of STARTS, an
emerging protocol for Internet retrieval and search involving over 11
companies and organizations. Finally, I will address the problem of
efficiently retrieving ranked information from sources. In
particular, I will discuss the problem of merging ranked query results
from sources with structured data, and optimization algorithms for
queries over repositories of complex multimedia objects.
URL of this page:
http://www-eecs.mit.edu/AY96-97/events/42.html
Created: Apr 14, 1997
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Modified: Jun 24, 1997
This announcement is from the MIT EECS 1996-97 archive.
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