Web Content Extraction - a Meta-Analysis of its Past and Thoughts on its Future
August 17, 2015 Β· Declared Dead Β· π SKDD
"No code URL or promise found in abstract"
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Authors
Tim Weninger, Rodrigo Palacios, Valter Crescenzi, Thomas Gottron, Paolo Merialdo
arXiv ID
1508.04066
Category
cs.IR: Information Retrieval
Cross-listed
cs.DB
Citations
20
Venue
SKDD
Last Checked
4 months ago
Abstract
In this paper, we present a meta-analysis of several Web content extraction algorithms, and make recommendations for the future of content extraction on the Web. First, we find that nearly all Web content extractors do not consider a very large, and growing, portion of modern Web pages. Second, it is well understood that wrapper induction extractors tend to break as the Web changes; heuristic/feature engineering extractors were thought to be immune to a Web site's evolution, but we find that this is not the case: heuristic content extractor performance also tends to degrade over time due to the evolution of Web site forms and practices. We conclude with recommendations for future work that address these and other findings.
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