Answering Web Questions Using Structured Data - Dream or Reality?
Summary: Panel on whether structured data can make Web search answer factual questions and organize content. Surveys the end-to-end challenges—collection, curation, extraction, inference, evidence, ontologies, indexing, and query processing—and their Semantic/Deep Web implications. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
BibTeX Citation
@article{pereira_vldb09,
title = {{Answering Web Questions Using Structured Data - Dream or Reality?}},
author = {Pereira, Fernando and Rajaraman, Anand and Sarawagi, Sunita and Tunstall-Pedoe, William and Weikum, Gerhard and Halevy, Alon},
journal = {PVLDB},
series = {{VLDB} '09},
doi = {10.14778/1687553.1687615},
url = {https://doi.org/10.14778/1687553.1687615},
year = {2009}
}Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 91 | WebTables: Exploring the Power of Tables on the Web | 2008 | VLDB | 0.00034838835 |
| 1,554 | Google’s Deep-Web Crawl | 2008 | VLDB | 0.00010372108 |
| 1,684 | Answering Table Augmentation Queries from Unstructured Lists on the Web [Extended Abstract] | 2009 | VLDB | 0.0001001843 |
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