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In this paper, the authors assume a group of collaborating agents where each agent is defined as an Information System. The system is coupled with a Query Answering System and a knowledge base which is initially empty. Information Systems can be incomplete. A user issues a query to the local database S in search for objects in information system that match a desired description. In case when some components of the description are missing in S, the query cannot be answered. The client then has to contact other agents to get some definitions of missing parts of the query. Their goal is to find optimal agent for client, where by optimal they mean an agent of maximal precision and recall.
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