Masters Theses

Date of Award

5-1995

Degree Type

Thesis

Degree Name

Master of Science

Major

Computer Science

Major Professor

Michael W. Berry

Committee Members

David Straight, Richard Pollard

Abstract

In this thesis, a study and analysis of the effectiveness of the Latent Semantic Indexing Retrieval System (LSIRS) is presented. Using a Motif-based X-Windows application, LSIRS uses the truncated singular value decomposition (SVD) of the associated term-document matrices to perform document retrieval. The LSIRS user interface was initial prototype graphical user interface (GUI) of the recently developed XLSI application. The indexing and SVD software used to employ Latent Semantic Indexing (or LSI) was developed at Bellcore and the University of Tennessee. Based on data collected from the usage of the system by graduate students and University of Tennessee library patrons, LSIRS is shown to be an effective and useful document retrieval system for both the inexperienced and advanced user. However, as no software application is perfect, suggestions for future system improvements are described.

Download
Files over 3MB may be slow to open. For best results, right-click and select "save as..."

Share

COinS