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:en
en
Published: 2004
Subjects:
Online Access:https://etd.uum.edu.my/1203/1/HAZLINDA_GHAZALI.pdf
https://etd.uum.edu.my/1203/2/1.HAZLINDA_GHAZALI.pdf
https://etd.uum.edu.my/1203/
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author Hazlinda, Ghazali
author_facet Hazlinda, Ghazali
author_sort Hazlinda, Ghazali
building UUM Library
collection Institutional Repository
content_provider Universiti Utara Malaysia
content_source UUM Electronic Theses
continent Asia
country Malaysia
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
id my.uum.etd-1203
institution Universiti Utara Malaysia
language en
en
publishDate 2004
record_format eprints
spelling my.uum.etd-12032013-07-24T12:10:54Z https://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 https://etd.uum.edu.my/1203/1/HAZLINDA_GHAZALI.pdf application/pdf en https://etd.uum.edu.my/1203/2/1.HAZLINDA_GHAZALI.pdf Hazlinda, Ghazali (2004) Ontology Driven Web Data Extraction. Masters thesis, Universiti Utara Malaysia.
spellingShingle QA76 Computer software
Hazlinda, Ghazali
Ontology Driven Web Data Extraction
title 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_short Ontology Driven Web Data Extraction
title_sort ontology driven web data extraction
topic QA76 Computer software
url https://etd.uum.edu.my/1203/1/HAZLINDA_GHAZALI.pdf
https://etd.uum.edu.my/1203/2/1.HAZLINDA_GHAZALI.pdf
https://etd.uum.edu.my/1203/
url_provider http://etd.uum.edu.my/