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...

Full description

Saved in:
Bibliographic Details
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
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
Description
Summary: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.