Information retrieval is becoming increasingly concerned with resource selection and data fusion for distributed archives. In distributed information retrieval, a user submits a query to a broker, which determines a solution for how to yield a given number of documents from all available resources. In this paper, we present a multi-objective model for resource selection, in which four aspects: a document's relevance to the given query, time, monetary cost, and the chance of getting document duplicates from resources, are considered simultaneously. Some variants of this multi-objective model, aimed at achieving better implementation efficiency, are also proposed.
|Number of pages||16|
|Journal||International Journal of Uncertainty, Fuzziness and Knowledge Based Systems|
|Publication status||Published - Jan 2003|
- information retrieval
- resource selection
- digital libraries
- multi-objective models