Best-match retrieval of sequential information

This dissertation reports an investigation into a number of search and retrieval techniques for new generation of information retrieval systems. It discusses the use of automatic indexing techniques to obtain document and query representatives, this includes methods for the selection of terms from d...

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Main Author: Singa Suparman.
Other Authors: Cheng, Tee Hiang
Format: Theses and Dissertations
Language:English
Published: 2009
Subjects:
Online Access:http://hdl.handle.net/10356/19564
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-195642023-07-04T15:31:31Z Best-match retrieval of sequential information Singa Suparman. Cheng, Tee Hiang School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems This dissertation reports an investigation into a number of search and retrieval techniques for new generation of information retrieval systems. It discusses the use of automatic indexing techniques to obtain document and query representatives, this includes methods for the selection of terms from document texts and the use of conflation techniques to deal with variations in word forms. It also discusses the use of best match retrieval techniques as an alternative to Boolean retrieval mechanisms, which characterize current free-text retrieval (FTX) systems. This is foliowed by a description of term weighting techniques, which can be used to reflect the ability of search tenns to discriminate between relevant and non-relevant documents. Other techniques, which may, with further development, figure in future retrieval systems, are also briefly described. Master of Science (Communications and Computer Networking) 2009-12-14T06:15:30Z 2009-12-14T06:15:30Z 1997 1997 Thesis http://hdl.handle.net/10356/19564 en NANYANG TECHNOLOGICAL UNIVERSITY 109 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Singa Suparman.
Best-match retrieval of sequential information
description This dissertation reports an investigation into a number of search and retrieval techniques for new generation of information retrieval systems. It discusses the use of automatic indexing techniques to obtain document and query representatives, this includes methods for the selection of terms from document texts and the use of conflation techniques to deal with variations in word forms. It also discusses the use of best match retrieval techniques as an alternative to Boolean retrieval mechanisms, which characterize current free-text retrieval (FTX) systems. This is foliowed by a description of term weighting techniques, which can be used to reflect the ability of search tenns to discriminate between relevant and non-relevant documents. Other techniques, which may, with further development, figure in future retrieval systems, are also briefly described.
author2 Cheng, Tee Hiang
author_facet Cheng, Tee Hiang
Singa Suparman.
format Theses and Dissertations
author Singa Suparman.
author_sort Singa Suparman.
title Best-match retrieval of sequential information
title_short Best-match retrieval of sequential information
title_full Best-match retrieval of sequential information
title_fullStr Best-match retrieval of sequential information
title_full_unstemmed Best-match retrieval of sequential information
title_sort best-match retrieval of sequential information
publishDate 2009
url http://hdl.handle.net/10356/19564
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