Capaian secara semantik dokumen web berasaskan domain ontologi

Accessing and extracting semantic information from Web documents is crucial for the realization of the semantic web and the provision of advance knowledge services. Manual extraction of semantic information is impractical and unscalable and fully automated tools are still at the very early stage to...

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Main Author:	Arifah Che Alhadi
Format:	Thesis
Language:	English
Subjects:	TK 5105.888 .A7 2005 Arifah Che Alhadi Capaian secara semantik dokumen web berasaskan domain ontologi Knowledge management Semantic Web XML ( Document markup language) Web site development
Online Access:	http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/746/1/TK%205105.888%20.A7%202005%20Abstract.pdf http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/746/2/TK%205105.888%20.A7%202005%20FullText.pdf
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id	my-umt-ir.-746
record_format	uketd_dc
spelling	my-umt-ir.-7462016-03-10T03:41:18Z Capaian secara semantik dokumen web berasaskan domain ontologi Arifah Che Alhadi Accessing and extracting semantic information from Web documents is crucial for the realization of the semantic web and the provision of advance knowledge services. Manual extraction of semantic information is impractical and unscalable and fully automated tools are still at the very early stage to be implemented. Therefore, the use of specialized domain knowledge in the form of ontology is seen as one of the practical short terms solutions approach which be used to search and extract semantic information content from unstructured text on the web. Ontologies have been defined as "explicit representation(s) of domain", in which concepts and relationships between them are defined as a representational terms, enabling knowledge to be shared and reuse. While ontologies have been widely used to support communication and information sharing within the context of Semantic Web documents is still not thoroughly explored. The main aim of this research is therefore to propose an approach of which the unstructured nature of web documents can be semantically queried by using domain ontology. Universiti Kebangsaan Malaysia 2005-07 Thesis en http://hdl.handle.net/123456789/746 http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/746/1/TK%205105.888%20.A7%202005%20Abstract.pdf 8518692802812d6229f5d89794715fae http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/746/2/TK%205105.888%20.A7%202005%20FullText.pdf 14892b520360f0d439add74f818e7bdd http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/746/3/license.txt ecca7a0b60eabbf88d99eae3662e2d50 http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/746/4/TK%205105.888%20.A7%202005%20Abstract.pdf.txt d618377b31f092a671ea10ed51edfa9c http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/746/5/TK%205105.888%20.A7%202005%20FullText.pdf.txt 5ad2cd19cc4545053d4e30fe87574ae8 TK 5105.888 .A7 2005 Arifah Che Alhadi Capaian secara semantik dokumen web berasaskan domain ontologi Knowledge management Semantic Web XML ( Document markup language) Web site development
institution	Universiti Malaysia Terengganu
collection	UMT Repository System
language	English
topic	TK 5105.888 .A7 2005 Arifah Che Alhadi Capaian secara semantik dokumen web berasaskan domain ontologi Knowledge management Semantic Web XML ( Document markup language) Web site development
spellingShingle	TK 5105.888 .A7 2005 Arifah Che Alhadi Capaian secara semantik dokumen web berasaskan domain ontologi Knowledge management Semantic Web XML ( Document markup language) Web site development Arifah Che Alhadi Capaian secara semantik dokumen web berasaskan domain ontologi
description	Accessing and extracting semantic information from Web documents is crucial for the realization of the semantic web and the provision of advance knowledge services. Manual extraction of semantic information is impractical and unscalable and fully automated tools are still at the very early stage to be implemented. Therefore, the use of specialized domain knowledge in the form of ontology is seen as one of the practical short terms solutions approach which be used to search and extract semantic information content from unstructured text on the web. Ontologies have been defined as "explicit representation(s) of domain", in which concepts and relationships between them are defined as a representational terms, enabling knowledge to be shared and reuse. While ontologies have been widely used to support communication and information sharing within the context of Semantic Web documents is still not thoroughly explored. The main aim of this research is therefore to propose an approach of which the unstructured nature of web documents can be semantically queried by using domain ontology.
format	Thesis
author	Arifah Che Alhadi
author_facet	Arifah Che Alhadi
author_sort	Arifah Che Alhadi
title	Capaian secara semantik dokumen web berasaskan domain ontologi
title_short	Capaian secara semantik dokumen web berasaskan domain ontologi
title_full	Capaian secara semantik dokumen web berasaskan domain ontologi
title_fullStr	Capaian secara semantik dokumen web berasaskan domain ontologi
title_full_unstemmed	Capaian secara semantik dokumen web berasaskan domain ontologi
title_sort	capaian secara semantik dokumen web berasaskan domain ontologi
granting_institution	Universiti Kebangsaan Malaysia
url	http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/746/1/TK%205105.888%20.A7%202005%20Abstract.pdf http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/746/2/TK%205105.888%20.A7%202005%20FullText.pdf
_version_	1747835877263933440

Capaian secara semantik dokumen web berasaskan domain ontologi

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