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Answering Table Augmentation Queries from Unstructured Lists on the Web

Summary: Totally unsupervised end-to-end system builds a target table from a few example rows using unstructured web lists. Retrieves relevant lists, segments records, maps to the query schema with a statistical model, consolidates across lists, and ranks by membership; demonstrates on Wikipedia with 16M lists and ~20s runtime. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9926
Venue
VLDB
Year
2009
Pagerank
0.00011245609
Overall Rank
1,585 | 88.99%
DOI
-

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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
155 Robust and Efficient Fuzzy Match for Online Data Cleaning 2003 SIGMOD 0.00040666376
757 Creating Probabilistic Databases from Information Extraction Models 2006 VLDB 0.00017062337
1,316 Harvesting Relational Tables from Lists on the Web 2009 VLDB 0.00012616422
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