Summary: Reconciling Distributed Information Sources \Lambda
Jos'e Luis Ambite and Craig A. Knoblock
Information Sciences Institute and Department of Computer Science
University of Southern California
4676 Admiralty Way
Marina del Rey, CA 90292
fjambitem, knoblockg@isi.edu
Abstract
In a network of information agents, the problem of
how these agents keep accurate models of each other
becomes critical. Due to the dynamic nature of in­
formation and the autonomy of the agents, the mod­
els that an agent has of its information sources may
not reflect their actual contents. In this paper, we
propose an approach to automatically reconcile agent
models. First, we show how an agent can revise its
models to account for the disparities with its informa­
tion sources. Second, we show how to learn concise de­
scriptions of the new classes of information that arise.
Third, we show how the refined models improve both

Source: Ambite, José Luis - Information Sciences Institute & Department of Computer Science, University of Southern California

Collections: Computer Technologies and Information Sciences