Abstract
In a Distributed Information Retrieval system, a user submits a query to a broker, which determines how to yield a given number of documents from all possible resource servers. In this paper, we propose a multi-objective model for this resource selection task. In this model, four aspects are considered simultaneously in the choice of the resource: document's relevance to the given query, time, monetary cost, and similarity between resources. An optimized solution is achieved by comparing the performances of all possible
candidates. Some variations of the basic model are also given, which improve the basic model's efficiency.
Original language | English |
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Pages | 1171-1178 |
Number of pages | 7 |
Publication status | Published - 1 Jan 2002 |
Event | Proceedings of the 9th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems - Annecy, France Duration: 1 Jan 2002 → … |
Conference
Conference | Proceedings of the 9th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems |
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City | Annecy, France |
Period | 1/01/02 → … |
Keywords
- information retrieval
- resource selection
- distributed digital libraries