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 0218-4885Full text not available in this repository. (Request a copy from the Strathclyde author)
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.
|Keywords:||information retrieval, resource selection, digital libraries, multi-objective models, Electronic computers. Computer science, Artificial Intelligence, Software, Information Systems, Control and Systems Engineering|
|Subjects:||Science > Mathematics > Electronic computers. Computer science|
|Department:||Faculty of Science > Computer and Information Sciences|
|Depositing user:||Strathprints Administrator|
|Date Deposited:||06 Feb 2007|
|Last modified:||06 Jan 2017 03:24|