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22nd International Conference on Data Engineering (ICDE'06)
Extracting Objects from the Web
Atlanta, Georgia
April 03-April 07
ISBN: 0-7695-2570-9
Zaiqing Nie, Microsoft Research Asia
Fei Wu2, Tsinghua University
Ji-Rong Wen, Microsoft Research Asia
Wei-Ying Ma, Microsoft Research Asia
Extracting and integrating object information from the Web is of great significance for Web data management. The existing Web information extraction techniques cannot provide satisfactory solution to the Web object extraction task since objects of the same type are distributed in diverse Web sources, whose structures are highly heterogeneous. In this paper, we propose a novel approach called Object-Level Information Extraction (OLIE) to extract Web objects. This approach extends a classic information extraction algorithm, Conditional Random Fields (CRF), by adding Web-specific information. The experimental results show OLIE can significantly improve the Web object extraction accuracy.
Citation:
Zaiqing Nie, Fei Wu2, Ji-Rong Wen, Wei-Ying Ma, "Extracting Objects from the Web," icde, pp.123, 22nd International Conference on Data Engineering (ICDE'06), 2006
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