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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
computer science
FiVaTech: Page-level web data extraction from template pages
IEEE Transactions on Knowledge and Data Engineering, Volume 22, No. 2, Article 4815243, Year 2010
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Description
Web data extraction has been an important part for many Web data analysis applications. In this paper, we formulate the data extraction problem as the decoding process of page generation based on structured data and tree templates. We propose an unsupervised, page-level data extraction approach to deduce the schema and templates for each individual Deep Website, which contains either singleton or multiple data records in one Webpage. FiVaTech applies tree matching, tree alignment, and mining techniques to achieve the challenging task. In experiments, FiVaTech has much higher precision than EXALG and is comparable with other record-level extraction systems like ViPER and MSE. The experiments show an encouraging result for the test pages used in many state-of-the-art Web data extraction works. © 2006 IEEE.
Authors & Co-Authors
Kayed, Mohammed
Egypt, Beni Suef
Faculty of Sciences
Chang, Chiahui
Taiwan, Taoyuan
National Central University
Statistics
Citations: 162
Authors: 2
Affiliations: 2
Identifiers
Doi:
10.1109/TKDE.2009.82
ISSN:
10414347
Research Areas
Environmental
Study Design
Case-Control Study
Study Approach
Systematic review