Distributed Information Retrieval: A Multi-Objective Resource Selection Approach

S. Wu, F. Crestani

Research output: Contribution to journalArticle

11 Citations (Scopus)

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.
Original languageEnglish
Pages (from-to)83-99
Number of pages16
JournalInternational Journal of Uncertainty, Fuzziness and Knowledge Based Systems
Volume11
Issue number1
DOIs
Publication statusPublished - Jan 2003

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Information retrieval
Data fusion
Costs

Keywords

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

Cite this

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Distributed Information Retrieval: A Multi-Objective Resource Selection Approach. / Wu, S.; Crestani, F.

In: International Journal of Uncertainty, Fuzziness and Knowledge Based Systems, Vol. 11, No. 1, 01.2003, p. 83-99.

Research output: Contribution to journalArticle

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