QuTE: Answering Quantity Queries from Web Tables
Summary: QuTE extracts entity–quantity facts from web tables and supports online processing of quantity queries. It presents new query-matching and answer-ranking techniques for quantity filters, bridging the web-table data with structured KBs. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Vinh Thinh Ho
- 2. Koninika Pal
- 3. Gerhard Weikum
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,000 | SANTOS: Relationship-based Semantic Table Union Search | 2023 | SIGMOD | 7.7462128e-05 |
| 4,630 | Knowledge Graphs 2021: A Data Odyssey | 2021 | VLDB | 6.0348379e-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 |
|---|---|---|---|---|
| 364 | Annotating and Searching Web Tables Using Entities, Types and Relationships | 2010 | VLDB | 0.00025637562 |
| 3,155 | Ten Years of WebTables | 2018 | VLDB | 7.4672742e-05 |
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