Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/40140
Title: Detecting and partitioning data objects in complex web pages
Authors: Ye, S. 
Chua, T.-S. 
Issue Date: 2004
Source: Ye, 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.
Abstract: This 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.
Source Title: Proceedings - IEEE/WIC/ACM International Conference on Web Intelligence, WI 2004
URI: http://scholarbank.nus.edu.sg/handle/10635/40140
ISBN: 0769521002
Appears in Collections:Staff Publications

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