E-Resource Searcher (ERS) System

E-Resource Searcher (ERS) System

With the continue increase of the information, information retrieval (IR) has been becoming more important than ever before. Particularly in the digital library, generally it has a large plenty of E-Resource for the user to search and use. Therefore, this paper attempts to design an E-Resource searc...

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Main Author: Chen, Liang
Format: Thesis
Language:eng
eng
Published: 2010
Subjects:
QA76 Computer software
Online Access:https://etd.uum.edu.my/2386/1/Chen_Liang.pdf
https://etd.uum.edu.my/2386/2/1.Chen_Liang.pdf
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id my-uum-etd.2386
record_format uketd_dc
spelling my-uum-etd.23862013-07-24T12:15:46Z E-Resource Searcher (ERS) System 2010 Chen, Liang Zulkifli, Abdul Nasir College of Arts and Sciences (CAS) College of Arts and Sciences QA76 Computer software With the continue increase of the information, information retrieval (IR) has been becoming more important than ever before. Particularly in the digital library, generally it has a large plenty of E-Resource for the user to search and use. Therefore, this paper attempts to design an E-Resource searcher system which helps the student to find E-Resource faster and accurately among the ocean of E-Resource. The paper introduces the IR concepts, search engine working procedure, and the prominent open-source search library - Apache Lucene in details. The ERS search functionality primarily relies on the Lucene as full-text search core and partly depends on the traditional SQL query search for the common search. The research also presents feasible search architecture for the integration of the traditional database operation and search index database, which is appropriate for the most of the web-application embedded search. In addition, the IR (Information Retrieval) test collection is adopted to test the ERS search performances in precision and recall capabilities. The result is satisfactory and meets the research requirement. 2010 Thesis https://etd.uum.edu.my/2386/ https://etd.uum.edu.my/2386/1/Chen_Liang.pdf application/pdf eng validuser https://etd.uum.edu.my/2386/2/1.Chen_Liang.pdf application/pdf eng public http://lintas.uum.edu.my:8080/elmu/index.jsp?module=webopac-l&action=fullDisplayRetriever.jsp&szMaterialNo=0000764824 masters masters Universiti Utara Malaysia
institution Universiti Utara Malaysia
collection UUM ETD
language eng
eng
advisor Zulkifli, Abdul Nasir
topic QA76 Computer software
spellingShingle QA76 Computer software
Chen, Liang
E-Resource Searcher (ERS) System
description With the continue increase of the information, information retrieval (IR) has been becoming more important than ever before. Particularly in the digital library, generally it has a large plenty of E-Resource for the user to search and use. Therefore, this paper attempts to design an E-Resource searcher system which helps the student to find E-Resource faster and accurately among the ocean of E-Resource. The paper introduces the IR concepts, search engine working procedure, and the prominent open-source search library - Apache Lucene in details. The ERS search functionality primarily relies on the Lucene as full-text search core and partly depends on the traditional SQL query search for the common search. The research also presents feasible search architecture for the integration of the traditional database operation and search index database, which is appropriate for the most of the web-application embedded search. In addition, the IR (Information Retrieval) test collection is adopted to test the ERS search performances in precision and recall capabilities. The result is satisfactory and meets the research requirement.
format Thesis
qualification_name masters
qualification_level Master's degree
author Chen, Liang
author_facet Chen, Liang
author_sort Chen, Liang
title E-Resource Searcher (ERS) System
title_short E-Resource Searcher (ERS) System
title_full E-Resource Searcher (ERS) System
title_fullStr E-Resource Searcher (ERS) System
title_full_unstemmed E-Resource Searcher (ERS) System
title_sort e-resource searcher (ers) system
granting_institution Universiti Utara Malaysia
granting_department College of Arts and Sciences (CAS)
publishDate 2010
url https://etd.uum.edu.my/2386/1/Chen_Liang.pdf
https://etd.uum.edu.my/2386/2/1.Chen_Liang.pdf
_version_ 1747827332711710720

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