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Extracting and Querying a Comprehensive Web Database

Summary: Omnivore builds a comprehensive web-scale entity-relationship DB by running multiple domain-independent extractors (tables, text, relations) in parallel over a crawl and merging heterogeneous outputs to overcome model-specific blind spots. Provides SQL-like and search interfaces, supports user corrections, and automatically selects output model/schema to render results without prior metadata. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
105
Venue
CIDR
Year
2009
Pagerank
6.6130211e-05
Overall Rank
3,935 | 72.66%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
5,662 From Information to Knowledge: Harvesting Entities and Relationships from Web Sources 2010 PODS 5.3854745e-05
9,366 IQ: The Case for Iterative Querying for Knowledge 2011 CIDR 4.3467888e-05
12,052 Knowledge Harvesting in the Big-Data Era 2013 SIGMOD 4.1905499e-05
12,252 DoCQS: A Prototype System for Supporting Data-oriented Content Query 2010 SIGMOD 4.1905499e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 7 of 7 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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