Distributed information retrieval: a multi-objective resource selection approach

Authors:
Shengli Wu;Fabio Crestani
Affiliations:
Department of Computer and Information Sciences, University of Strathclyde, Glasgow G1 1XH, Scotland, UK;Department of Computer and Information Sciences, University of Strathclyde, Glasgow G1 1XH, Scotland, UK
Venue:
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems - Intelligent information systems
Year:
2003

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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.