A comparison of taxonomy and ontology for classifying knowledge resources in an organization.

This study compares the applicability and effectiveness of taxonomy and ontology information classification to help the Ministry of Home Affairs to achieve a higher level of information integrity and accuracy in information storage, retrieval, sharing and reuse. As there was little study comparing t...

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Bibliographic Details
Main Author:	Chan, Danny Hong Kee.
Other Authors:	Chaudhry, Abdus Sattar
Format:	Theses and Dissertations
Published:	2008
Subjects:	DRNTU::Library and information science::Archives and records management DRNTU::Library and information science::Libraries::Cataloguing and classification
Online Access:	http://hdl.handle.net/10356/1713
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Institution:	Nanyang Technological University

id	sg-ntu-dr.10356-1713
record_format	dspace
spelling	sg-ntu-dr.10356-17132019-12-10T11:29:04Z A comparison of taxonomy and ontology for classifying knowledge resources in an organization. Chan, Danny Hong Kee. Chaudhry, Abdus Sattar Wee Kim Wee School of Communication and Information DRNTU::Library and information science::Archives and records management DRNTU::Library and information science::Libraries::Cataloguing and classification This study compares the applicability and effectiveness of taxonomy and ontology information classification to help the Ministry of Home Affairs to achieve a higher level of information integrity and accuracy in information storage, retrieval, sharing and reuse. As there was little study comparing the effectiveness of taxonomy and ontology classification methods, the study compares the taxonomy and ontology building process using terrorism related information available from the public domain. A prototype taxonomy and ontology were then developed for user testing and feedbacks. Master of Science (Knowledge Management) 2008-09-10T08:35:34Z 2008-09-10T08:35:34Z 2005 2005 Thesis http://hdl.handle.net/10356/1713 Nanyang Technological University application/pdf
institution	Nanyang Technological University
building	NTU Library
country	Singapore
collection	DR-NTU
topic	DRNTU::Library and information science::Archives and records management DRNTU::Library and information science::Libraries::Cataloguing and classification
spellingShingle	DRNTU::Library and information science::Archives and records management DRNTU::Library and information science::Libraries::Cataloguing and classification Chan, Danny Hong Kee. A comparison of taxonomy and ontology for classifying knowledge resources in an organization.
description	This study compares the applicability and effectiveness of taxonomy and ontology information classification to help the Ministry of Home Affairs to achieve a higher level of information integrity and accuracy in information storage, retrieval, sharing and reuse. As there was little study comparing the effectiveness of taxonomy and ontology classification methods, the study compares the taxonomy and ontology building process using terrorism related information available from the public domain. A prototype taxonomy and ontology were then developed for user testing and feedbacks.
author2	Chaudhry, Abdus Sattar
author_facet	Chaudhry, Abdus Sattar Chan, Danny Hong Kee.
format	Theses and Dissertations
author	Chan, Danny Hong Kee.
author_sort	Chan, Danny Hong Kee.
title	A comparison of taxonomy and ontology for classifying knowledge resources in an organization.
title_short	A comparison of taxonomy and ontology for classifying knowledge resources in an organization.
title_full	A comparison of taxonomy and ontology for classifying knowledge resources in an organization.
title_fullStr	A comparison of taxonomy and ontology for classifying knowledge resources in an organization.
title_full_unstemmed	A comparison of taxonomy and ontology for classifying knowledge resources in an organization.
title_sort	comparison of taxonomy and ontology for classifying knowledge resources in an organization.
publishDate	2008
url	http://hdl.handle.net/10356/1713
_version_	1681042236600483840

A comparison of taxonomy and ontology for classifying knowledge resources in an organization.

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