On extracting link information of relationship instances from a web site

Web pages from a web site can often be associated with concepts in an ontology, and pairs of web pages can also be associated with relationships between concepts. With such associations, web pages can be searched, browsed or even reorganized based on their concept and relationship labels. In this pa...

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Main Authors: Naing, Myo Myo, Lim, Ee Peng, Goh, Dion Hoe-Lian
Other Authors: Wee Kim Wee School of Communication and Information
Format: Conference or Workshop Item
Language:English
Published: 2009
Subjects:
Online Access:https://hdl.handle.net/10356/91117
http://hdl.handle.net/10220/6114
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-911172020-03-07T12:15:48Z On extracting link information of relationship instances from a web site Naing, Myo Myo Lim, Ee Peng Goh, Dion Hoe-Lian Wee Kim Wee School of Communication and Information Conference on Web Services – Europe (2003 : Germany) Centre for Advanced Information Systems DRNTU::Engineering::Computer science and engineering::Computer systems organization::Computer-communication networks Web pages from a web site can often be associated with concepts in an ontology, and pairs of web pages can also be associated with relationships between concepts. With such associations, web pages can be searched, browsed or even reorganized based on their concept and relationship labels. In this paper, we investigate the problem of extracting link information of relationship instances from a web site. We define the notion of link chain and formulate the link chain extraction problem. An extraction method based on sequential covering has been proposed to solve the problem. This paper presents the proposed method and the experiments to evaluate its performance. We have applied the method to extract link chain information from the Yahoo! Movie Web Site with very promising results. Accepted version 2009-10-01T07:26:30Z 2019-12-06T18:00:04Z 2009-10-01T07:26:30Z 2019-12-06T18:00:04Z 2003 2003 Conference Paper Naing, M. M., Lim, E. P., & Goh, H. L. (2003). On Extracting Link Information on Relationship Instances from a Web Site. Proceedings of the International Conference on Web Services – Europe 2003, ICWS-Europe 2003, (September 23-24, Erfurt, Germany), Lecture Notes in Computer Science 2853, 213-226. https://hdl.handle.net/10356/91117 http://hdl.handle.net/10220/6114 10.1007/b13818 en The original publication is available at www.springerlink.com 16 p. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering::Computer systems organization::Computer-communication networks
spellingShingle DRNTU::Engineering::Computer science and engineering::Computer systems organization::Computer-communication networks
Naing, Myo Myo
Lim, Ee Peng
Goh, Dion Hoe-Lian
On extracting link information of relationship instances from a web site
description Web pages from a web site can often be associated with concepts in an ontology, and pairs of web pages can also be associated with relationships between concepts. With such associations, web pages can be searched, browsed or even reorganized based on their concept and relationship labels. In this paper, we investigate the problem of extracting link information of relationship instances from a web site. We define the notion of link chain and formulate the link chain extraction problem. An extraction method based on sequential covering has been proposed to solve the problem. This paper presents the proposed method and the experiments to evaluate its performance. We have applied the method to extract link chain information from the Yahoo! Movie Web Site with very promising results.
author2 Wee Kim Wee School of Communication and Information
author_facet Wee Kim Wee School of Communication and Information
Naing, Myo Myo
Lim, Ee Peng
Goh, Dion Hoe-Lian
format Conference or Workshop Item
author Naing, Myo Myo
Lim, Ee Peng
Goh, Dion Hoe-Lian
author_sort Naing, Myo Myo
title On extracting link information of relationship instances from a web site
title_short On extracting link information of relationship instances from a web site
title_full On extracting link information of relationship instances from a web site
title_fullStr On extracting link information of relationship instances from a web site
title_full_unstemmed On extracting link information of relationship instances from a web site
title_sort on extracting link information of relationship instances from a web site
publishDate 2009
url https://hdl.handle.net/10356/91117
http://hdl.handle.net/10220/6114
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