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Conference Paper: A Semantic DOM Approach For Webpage Information Extraction

TitleA Semantic DOM Approach For Webpage Information Extraction
Authors
Issue Date2009
PublisherIEEE.
Citation
International Conference on Management and Service Science (MASS '09), Wuhan, China, 20-22 September 2009, p. 1-5 How to Cite?
AbstractWith the development of electronic technology and e-commerce, technology for Web pages has attracted a lot of research efforts which becomes one of the hottest topics recently. This paper has proposed a semantic DOM (SDOM) approach for information extraction of e-commerce Web pages. With the combination of content and structure information, the precision and recall can achieve a good result which is shown in our experiments on listpage and tablepage data sets.
Persistent Identifierhttp://hdl.handle.net/10722/223762
ISBN

 

DC FieldValueLanguage
dc.contributor.authorFei, Y-
dc.contributor.authorLuo, Z-
dc.contributor.authorXu, Y-
dc.contributor.authorZhang, W-
dc.date.accessioned2016-03-14T08:16:36Z-
dc.date.available2016-03-14T08:16:36Z-
dc.date.issued2009-
dc.identifier.citationInternational Conference on Management and Service Science (MASS '09), Wuhan, China, 20-22 September 2009, p. 1-5-
dc.identifier.isbn978-1-4244-4638-4-
dc.identifier.urihttp://hdl.handle.net/10722/223762-
dc.description.abstractWith the development of electronic technology and e-commerce, technology for Web pages has attracted a lot of research efforts which becomes one of the hottest topics recently. This paper has proposed a semantic DOM (SDOM) approach for information extraction of e-commerce Web pages. With the combination of content and structure information, the precision and recall can achieve a good result which is shown in our experiments on listpage and tablepage data sets.-
dc.languageeng-
dc.publisherIEEE.-
dc.relation.ispartofInternational Conference on Management and Service Science (MASS)-
dc.rightsInternational Conference on Management and Service Science (MASS). Copyright © IEEE.-
dc.rights©20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.titleA Semantic DOM Approach For Webpage Information Extraction-
dc.typeConference_Paper-
dc.identifier.emailLuo, Z: zwluo@eti.hku.hk-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/ICMSS.2009.5302541-
dc.identifier.hkuros164908-
dc.identifier.spage1-
dc.identifier.epage5-
dc.publisher.placeWuhan, China-

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