Multi-objective resource selection in distributed information retrieval

S. Wu, F. Crestani

Research output: Contribution to conferencePaper

Abstract

In a Distributed Information Retrieval system, a user submits a query to a broker, which determines how to yield a given number of documents from all possible resource servers. In this paper, we propose a multi-objective model for this resource selection task. In this model, four aspects are considered simultaneously in the choice of the resource: document's relevance to the given query, time, monetary cost, and similarity between resources. An optimized solution is achieved by comparing the performances of all possible candidates. Some variations of the basic model are also given, which improve the basic model's efficiency.

Conference

ConferenceProceedings of the 9th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems
CityAnnecy, France
Period1/01/02 → …

Fingerprint

Information retrieval
Information retrieval systems
Servers
Costs

Keywords

  • information retrieval
  • resource selection
  • distributed digital libraries

Cite this

Wu, S., & Crestani, F. (2002). Multi-objective resource selection in distributed information retrieval. 1171-1178. Paper presented at Proceedings of the 9th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Annecy, France, .
Wu, S. ; Crestani, F. / Multi-objective resource selection in distributed information retrieval. Paper presented at Proceedings of the 9th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Annecy, France, .7 p.
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title = "Multi-objective resource selection in distributed information retrieval",
abstract = "In a Distributed Information Retrieval system, a user submits a query to a broker, which determines how to yield a given number of documents from all possible resource servers. In this paper, we propose a multi-objective model for this resource selection task. In this model, four aspects are considered simultaneously in the choice of the resource: document's relevance to the given query, time, monetary cost, and similarity between resources. An optimized solution is achieved by comparing the performances of all possible candidates. Some variations of the basic model are also given, which improve the basic model's efficiency.",
keywords = "information retrieval, resource selection, distributed digital libraries",
author = "S. Wu and F. Crestani",
year = "2002",
language = "English",
pages = "1171--1178",
note = "Proceedings of the 9th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems ; Conference date: 01-01-2002",

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Wu, S & Crestani, F 2002, 'Multi-objective resource selection in distributed information retrieval' Paper presented at Proceedings of the 9th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Annecy, France, 1/01/02, pp. 1171-1178.

Multi-objective resource selection in distributed information retrieval. / Wu, S.; Crestani, F.

2002. 1171-1178 Paper presented at Proceedings of the 9th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Annecy, France, .

Research output: Contribution to conferencePaper

TY - CONF

T1 - Multi-objective resource selection in distributed information retrieval

AU - Wu, S.

AU - Crestani, F.

PY - 2002

Y1 - 2002

N2 - In a Distributed Information Retrieval system, a user submits a query to a broker, which determines how to yield a given number of documents from all possible resource servers. In this paper, we propose a multi-objective model for this resource selection task. In this model, four aspects are considered simultaneously in the choice of the resource: document's relevance to the given query, time, monetary cost, and similarity between resources. An optimized solution is achieved by comparing the performances of all possible candidates. Some variations of the basic model are also given, which improve the basic model's efficiency.

AB - In a Distributed Information Retrieval system, a user submits a query to a broker, which determines how to yield a given number of documents from all possible resource servers. In this paper, we propose a multi-objective model for this resource selection task. In this model, four aspects are considered simultaneously in the choice of the resource: document's relevance to the given query, time, monetary cost, and similarity between resources. An optimized solution is achieved by comparing the performances of all possible candidates. Some variations of the basic model are also given, which improve the basic model's efficiency.

KW - information retrieval

KW - resource selection

KW - distributed digital libraries

UR - http://www.cis.strath.ac.uk/research/publications/papers/strath_cis_publication_36.pdf

M3 - Paper

SP - 1171

EP - 1178

ER -

Wu S, Crestani F. Multi-objective resource selection in distributed information retrieval. 2002. Paper presented at Proceedings of the 9th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Annecy, France, .