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Ontology Driven Web Data Extraction

Data extraction from web document is becoming more popular and widely used for many tasks. The objective of this study is to develop web data extraction technique from IEEE Conference announcement website to search for important dates related to conference. At present, problems arise due to non-st...

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Main Author: Hazlinda, Ghazali
Format: Thesis
Language:English
English
Published: 2004
Subjects:
QA76 Computer software
Online Access:http://etd.uum.edu.my/1203/1/HAZLINDA_GHAZALI.pdf
http://etd.uum.edu.my/1203/2/1.HAZLINDA_GHAZALI.pdf
http://etd.uum.edu.my/1203/
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id my.uum.etd.1203
record_format eprints
spelling my.uum.etd.12032013-07-24T12:10:54Z http://etd.uum.edu.my/1203/ Ontology Driven Web Data Extraction Hazlinda, Ghazali QA76 Computer software Data extraction from web document is becoming more popular and widely used for many tasks. The objective of this study is to develop web data extraction technique from IEEE Conference announcement website to search for important dates related to conference. At present, problems arise due to non-standardized and free format web document. Besides that, multiple terms can have same meaning. In this study, information from web pages were extracted and structured from the websites by using ontology and used XML document to store data. The web data extraction technique is developed using Cold Fusion 4.5 web programming language. 2004 Thesis NonPeerReviewed application/pdf en http://etd.uum.edu.my/1203/1/HAZLINDA_GHAZALI.pdf application/pdf en http://etd.uum.edu.my/1203/2/1.HAZLINDA_GHAZALI.pdf Hazlinda, Ghazali (2004) Ontology Driven Web Data Extraction. Masters thesis, Universiti Utara Malaysia.
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Electronic Theses
url_provider http://etd.uum.edu.my/
language English
English
topic QA76 Computer software
spellingShingle QA76 Computer software
Hazlinda, Ghazali
Ontology Driven Web Data Extraction
description Data extraction from web document is becoming more popular and widely used for many tasks. The objective of this study is to develop web data extraction technique from IEEE Conference announcement website to search for important dates related to conference. At present, problems arise due to non-standardized and free format web document. Besides that, multiple terms can have same meaning. In this study, information from web pages were extracted and structured from the websites by using ontology and used XML document to store data. The web data extraction technique is developed using Cold Fusion 4.5 web programming language.
format Thesis
author Hazlinda, Ghazali
author_facet Hazlinda, Ghazali
author_sort Hazlinda, Ghazali
title Ontology Driven Web Data Extraction
title_short Ontology Driven Web Data Extraction
title_full Ontology Driven Web Data Extraction
title_fullStr Ontology Driven Web Data Extraction
title_full_unstemmed Ontology Driven Web Data Extraction
title_sort ontology driven web data extraction
publishDate 2004
url http://etd.uum.edu.my/1203/1/HAZLINDA_GHAZALI.pdf
http://etd.uum.edu.my/1203/2/1.HAZLINDA_GHAZALI.pdf
http://etd.uum.edu.my/1203/
_version_ 1644276382699618304
score 13.214268

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