Distributed Information Retrieval: A Multi-Objective Resource Selection Approach

S. Wu, F. Crestani

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)


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.
Original languageEnglish
Pages (from-to)83-99
Number of pages16
JournalInternational Journal of Uncertainty, Fuzziness and Knowledge Based Systems
Issue number1
Publication statusPublished - Jan 2003


  • information retrieval
  • resource selection
  • digital libraries
  • multi-objective models


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