Methodologies for Distributed Information Retrieval

I
ICDCS
1998
18th IEEE International Conference on Distributed Computing Systems (ICDCS'98)
Abstract - Methodologies for Distributed Information Retrieval

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18th IEEE International Conference on Distributed Computing Systems (ICDCS'98)

Amsterdam, The Netherlands

May 26-May 29

ISBN: 0-8186-8292-2

	ASCII Text	x
	Owen de Kretser, Alistair Moffat, Tim Shimmin, Justin Zobel, "Methodologies for Distributed Information Retrieval," Distributed Computing Systems, International Conference on, pp. 66, 18th IEEE International Conference on Distributed Computing Systems (ICDCS'98), 1998.

	BibTex	x
	@article{ 10.1109/ICDCS.1998.679488, author = {Owen de Kretser and Alistair Moffat and Tim Shimmin and Justin Zobel}, title = {Methodologies for Distributed Information Retrieval}, journal ={Distributed Computing Systems, International Conference on}, volume = {0}, year = {1998}, issn = {1063-6927}, pages = {66}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICDCS.1998.679488}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Distributed Computing Systems, International Conference on TI - Methodologies for Distributed Information Retrieval SN - 1063-6927 SP EP A1 - Owen de Kretser, A1 - Alistair Moffat, A1 - Tim Shimmin, A1 - Justin Zobel, PY - 1998 KW - Information retrieval KW - distributed digital libraries KW - merging document databases KW - Internet applications VL - 0 JA - Distributed Computing Systems, International Conference on ER -

Owen de Kretser, University of Melbourne

Alistair Moffat, University of Melbourne

Tim Shimmin, RMIT

Justin Zobel, RMIT

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDCS.1998.679488

Text collections have traditionally been located at a single site and managed as a monolithic whole. However, it is now common for a collection to be spread over several hosts and for these hosts to be geographically separated. In this paper we examine several alternative approaches to distributed text retrieval. We report on our experience with a full implementation of these methods, and give retrieval efficiency and retrieval effectiveness results for collections distributed over both a local area network and a wide area network. We conclude that, compared to monolithic systems, distributed information retrieval systems can be fast and effective, but that they are not efficient.

Index Terms:

Information retrieval, distributed digital libraries, merging document databases, Internet applications

Citation:

Owen de Kretser, Alistair Moffat, Tim Shimmin, Justin Zobel, "Methodologies for Distributed Information Retrieval," icdcs, pp.66, 18th IEEE International Conference on Distributed Computing Systems (ICDCS'98), 1998

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