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Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/40140
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dc.titleDetecting and partitioning data objects in complex web pages
dc.contributor.authorYe, S.
dc.contributor.authorChua, T.-S.
dc.date.accessioned2013-07-04T07:57:33Z
dc.date.available2013-07-04T07:57:33Z
dc.date.issued2004
dc.identifier.citationYe, S.,Chua, T.-S. (2004). Detecting and partitioning data objects in complex web pages. Proceedings - IEEE/WIC/ACM International Conference on Web Intelligence, WI 2004 : 669-672. ScholarBank@NUS Repository.
dc.identifier.isbn0769521002
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/40140
dc.description.abstractThis paper presents an automated approach to detect and partition data objects or product description from complex Web pages. First, we derive the common page structure by comparing similar pages, and then identify data region covering the descriptions of data objects. Second, we partition the nodes belonging to different data objects in the data region and construct the self-explainable XML output files. The experiments indicate that our technique is effective. © 2004 IEEE.
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.sourcetitleProceedings - IEEE/WIC/ACM International Conference on Web Intelligence, WI 2004
dc.description.page669-672
dc.identifier.isiutNOT_IN_WOS
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