Experiments with document archive size detection

S. Wu; F. Gibb; F. Crestani; F. Sebastiani

Experiments with document archive size detection

S. Wu, F. Gibb, F. Crestani, F. Sebastiani (Editor)

Computer And Information Sciences

Research output: Chapter in Book/Report/Conference proceeding › Chapter

8 Citations (Scopus)

23 Downloads (Pure)

Abstract

The size of a document archive is a very important parameter for resource selection in distributed information retrieval systems. In this paper, we present a method for automatically detecting the size (ie the number of documents) of a document archive, in case the archive itself does not provide such information. In addition, a method for detecting incremental change of the archive size is also presented, which can be useful for deciding if a resource description has become obsolete and needs to be regenerated. An experimental evaluation of these methods shows that they provide quite acurate information.

Original language	English
Title of host publication	Advances in information retrieval
Subtitle of host publication	25th European Conference on IR Research, ECIR 2003, Pisa, Italy, April 14-16, 2003 : proceedings
Place of Publication	Berlin, Germany
Publisher	Springer
Pages	294-304
Number of pages	10
Volume	2633
ISBN (Print)	3540012745
Publication status	Published - 14 Apr 2003

Publication series

Name	Lecture notes on computer science
Publisher	Springer

Keywords

information retrieval systems
document archive
archive size

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https://dl.acm.org/doi/abs/10.5555/1757788.1757816

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Wu, S., Gibb, F., Crestani, F., & Sebastiani, F. (Ed.) (2003). Experiments with document archive size detection. In Advances in information retrieval : 25th European Conference on IR Research, ECIR 2003, Pisa, Italy, April 14-16, 2003 : proceedings (Vol. 2633, pp. 294-304). (Lecture notes on computer science). Springer. https://dl.acm.org/doi/abs/10.5555/1757788.1757816

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Wu, S, Gibb, F, Crestani, F & Sebastiani, F (ed.) 2003, Experiments with document archive size detection. in Advances in information retrieval : 25th European Conference on IR Research, ECIR 2003, Pisa, Italy, April 14-16, 2003 : proceedings. vol. 2633, Lecture notes on computer science, Springer, Berlin, Germany, pp. 294-304. <https://dl.acm.org/doi/abs/10.5555/1757788.1757816>

Experiments with document archive size detection. / Wu, S.; Gibb, F.; Crestani, F. et al.
Advances in information retrieval : 25th European Conference on IR Research, ECIR 2003, Pisa, Italy, April 14-16, 2003 : proceedings. Vol. 2633 Berlin, Germany: Springer, 2003. p. 294-304 (Lecture notes on computer science).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

TY - CHAP

T1 - Experiments with document archive size detection

AU - Wu, S.

AU - Gibb, F.

AU - Crestani, F.

A2 - Sebastiani, F.

PY - 2003/4/14

Y1 - 2003/4/14

N2 - The size of a document archive is a very important parameter for resource selection in distributed information retrieval systems. In this paper, we present a method for automatically detecting the size (ie the number of documents) of a document archive, in case the archive itself does not provide such information. In addition, a method for detecting incremental change of the archive size is also presented, which can be useful for deciding if a resource description has become obsolete and needs to be regenerated. An experimental evaluation of these methods shows that they provide quite acurate information.

AB - The size of a document archive is a very important parameter for resource selection in distributed information retrieval systems. In this paper, we present a method for automatically detecting the size (ie the number of documents) of a document archive, in case the archive itself does not provide such information. In addition, a method for detecting incremental change of the archive size is also presented, which can be useful for deciding if a resource description has become obsolete and needs to be regenerated. An experimental evaluation of these methods shows that they provide quite acurate information.

KW - information retrieval systems

KW - document archive

KW - archive size

M3 - Chapter

SN - 3540012745

VL - 2633

T3 - Lecture notes on computer science

SP - 294

EP - 304

BT - Advances in information retrieval

PB - Springer

CY - Berlin, Germany

ER -

Experiments with document archive size detection

Abstract

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Keywords

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