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:	eng eng
Published:	2004
Subjects:	QA76 Computer software
Online Access:	https://etd.uum.edu.my/1203/1/HAZLINDA_GHAZALI.pdf https://etd.uum.edu.my/1203/2/1.HAZLINDA_GHAZALI.pdf
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id	my-uum-etd.1203
record_format	uketd_dc
institution	Universiti Utara Malaysia
collection	UUM ETD
language	eng eng
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
qualification_name	masters
qualification_level	Master's degree
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
granting_institution	Universiti Utara Malaysia
granting_department	Faculty of Information Technology
publishDate	2004
url	https://etd.uum.edu.my/1203/1/HAZLINDA_GHAZALI.pdf https://etd.uum.edu.my/1203/2/1.HAZLINDA_GHAZALI.pdf
_version_	1747827094818127872
spelling	my-uum-etd.12032013-07-24T12:10:54Z Ontology Driven Web Data Extraction 2004 Hazlinda, Ghazali Faculty of Information Technology Faculty of Information Technology 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 https://etd.uum.edu.my/1203/ https://etd.uum.edu.my/1203/1/HAZLINDA_GHAZALI.pdf application/pdf eng validuser https://etd.uum.edu.my/1203/2/1.HAZLINDA_GHAZALI.pdf application/pdf eng public masters masters Universiti Utara Malaysia AgentCities.NET. IST project IST-2000-28384 Agentcities. Retrieved 20 April 2004 from http://www.agenticities.net/ Alani, H., Kim, S., Millard, D., Weal, M., Hall, W., Lewis, P., and Shadbot, N. (2003). Automatic ontology based knowledge extraction from web documents. IEEE Intelligent Systems, 18,(I), pp. 14-21. Aldea, A., Banares-Alcantara,R., Bocio, J., Gramajo, J., Isern, D., Kokossis, A.,Jimenez, L., Moreno, A.,Riano, D. (2003) . An Ontology-Based Knowledge Management Platform. IJCAI Workshop on Information Inregration on [he Web. Acapulco, Mexico, pp. 177- 182. Apers, P. M. G. (1994). Identifying internet-related database research. 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Magnin, L., Snoussi, H., Pham, V. T., Dury, A. and J.-Y. Nie.(2002). Agents Need to Become Welcome. In Proceedings of the 3rd International Symposium on Multi-Agent Systems, Large Complex Systems, and E-Businesses (MALCEB'2002). Erfurt/Thuringia, Germany. Mika, P., Iosif, V., Sure, Y. and Akkermans, H. (2004). Ontology-based Content Management in a Virtual Organization. Handbook on Ontologies 2004, pp. 455-476. Mohammadian, M. (2001). Intelligent Data Mining and Information Retrieval Retrieved15 March 2004 from World Wide Web for E-Business Applications. http://www.ssgrr.it/en/ssgrr2002w/papers/23O.pdf. Molina, H. G., Papakonstantinou, Y., Quass, D., Rajaraman, A., Sagiv, Y., Ullman, J.D. and Widom, J. (1997). The TSIMMIS project: Integration of heterogenous information sources. Journal of Intelligent Information Systems, 8, (2), pp. 117-132. Myllymaki, J. (2001). 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The AI-2002 Workshop on Business Agents and the Semantic Web (BASeWEB), AI 2002 Conference (AI-2002), Calgary, Alberta, Canada. Tijerino, Y. A., Embley, D. W., Lonsdale, D. W. and Nagy, G. (2003). Ontology Generation from Tables. In 4th International Conference on Web Information Systems Engineering (WISE 2003), Rome, Italy. Ullman, J. D., (1997). Information integration using logical views. In Proceeding of 1997 Intelligent Conference on Database Theory, pp. 19-40. Wand, Y. (1989). A proposal for a formal model of objects. In W. Kim and F.H. Lochovsky, editors, Object-Oriented Concepts, Databases, and Applications, ACM Press, New York. pp. 537-559.

Ontology Driven Web Data Extraction

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