Scalable Web Data Extraction for Online Market Intelligence
Summary: Lixto extends Web extraction for online market intelligence with parameterized navigation, on-the-fly product identity resolution, stream merging/filtering, and warehouse loading. Its key contribution is cloud-based scalability, demonstrated on electronics pricing data. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Robert Baumgartner (Lixto Software GmbH)
- 2. Georg Gottlob (University of Oxford)
- 3. Marcus Herzog (Lixto Software GmbH)
BibTeX Citation
@article{baumgartner_vldb09,
title = {{Scalable Web Data Extraction for Online Market Intelligence}},
author = {Baumgartner, Robert and Gottlob, Georg and Herzog, Marcus},
journal = {PVLDB},
series = {{VLDB} '09},
doi = {10.14778/1687553.1687580},
url = {https://doi.org/10.14778/1687553.1687580},
year = {2009}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,022 | SXPath - Extending XPath towards Spatial Querying on Web Documents | 2011 | VLDB | 5.5054396e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,180 | Monadic Datalog and the Expressive Power of Languages for Web Information Extraction | 2002 | PODS | 9.0108696e-05 |
| 2,565 | Visual Web Information Extraction with Lixto | 2001 | VLDB | 8.4117626e-05 |
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