A survey in traditional information retrieval models

Dong, Hai; Hussain,  Farookh Khadeer; Chang, Elizabeth

doi:10.1109/DEST.2008.4635214

116030_Traditional-inf-retrieval04635214.pdf (377.6Kb)

Access Status

Open access

Authors

Dong, Hai

Hussain, Farookh Khadeer

Chang, Elizabeth

Date

2008

Type

Conference Paper

Metadata

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Citation

Dong, Hai and Hussain, Farookh Khadeer and Chang, Elizabeth. 2008. A survey in traditional information retrieval models, in Chang, E. and Hussain, F. (ed), Second International Conference on Digital Ecosystems and Technology, Feb 26 2008, pp. 397-402. Phitsanulok, Thailand: Institute of Electrical and Electronics Engineers (IEEE).

Source Title

Proceedings of the 2nd international conference on digital ecosystems and technologies (DEST 2008)

Source Conference

2nd International Conference on Digital Ecosystems and Technology (DEST 2008)

DOI

10.1109/DEST.2008.4635214

ISBN

9781424414895

Faculty

Curtin Business School

School of Economics and Finance

School

Centre for Extended Enterprises and Business Intelligence

Remarks

Copyright © 2008 IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

URI

http://hdl.handle.net/20.500.11937/15295

Collection

Curtin Research Publications

Abstract

As a matter of fact, many so-called semantic search algorithms are derived friom the traditional index-term-based search models. In this paper, we survey the traditional information retrieval models by categorizing them into three main classes and eleven subclasses, and analyse their benefits and issues of them.