Wu, S. and Crestani, F. (2003) Distributed Information Retrieval: A Multi-Objective Resource Selection Approach. International Journal of Uncertainty, Fuzziness and Knowledge Based Systems, 11 (1). pp. 83-99. ISSN 0218-4885
Full text not available in this repository. (Request a copy from the Strathclyde author)Abstract
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.
| Item type: | Article |
|---|---|
| ID code: | 2492 |
| Keywords: | information retrieval, resource selection, digital libraries, multi-objective models, Electronic computers. Computer science |
| Subjects: | Science > Mathematics > Electronic computers. Computer science |
| Department: | Faculty of Science > Computer and Information Sciences |
| Related URLs: | |
| Depositing user: | Strathprints Administrator |
| Date Deposited: | 06 Feb 2007 |
| Last modified: | 12 Mar 2012 10:37 |
| URI: | http://strathprints.strath.ac.uk/id/eprint/2492 |
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