Ontology Driven Web Data Extraction

Hazlinda, Ghazali (2004) Ontology Driven Web Data Extraction. Masters thesis, Universiti Utara Malaysia.

PDF
HAZLINDA_GHAZALI.pdf
Restricted to Registered users only
Download (3MB) | Request a copy

Preview

PDF
1.HAZLINDA_GHAZALI.pdf
Download (709kB) | Preview

Abstract

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.

Item Type:	Thesis (Masters)
Supervisor :	UNSPECIFIED
Item ID:	1203
Uncontrolled Keywords:	Data Extraction Technique, Web Document, IEEE Conference
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Divisions:	Faculty and School System > Faculty of Information Technology
Date Deposited:	29 Jan 2010 01:06
Last Modified:	24 Jul 2013 12:10
Department:	Faculty of Information Technology
URI:	https://etd.uum.edu.my/id/eprint/1203

Actions (login required)

: View Item

Altmetric