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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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 |
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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 |
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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 |
_version_ |
1681049090227437568 |