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Database Principles in Information Extraction

Summary: Overview of algorithms and declarative frameworks for populating relational schemas from text, emphasizing programming abstractions for extractors. Advocates leveraging DB principles—schemas, constraints, provenance, optimization—to systematize IE, surveys recent work and future directions. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1639
Venue
PODS
Year
2014
Pagerank
4.3441378e-05
Overall Rank
9,423 | 34.45%
DOI
10.1145/2594358.2594563

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Incoming Citations (Sorted by Pagerank)

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Rank Citing Paper Year Venue Pagerank
11,775 Building Structured Databases of Factual Knowledge from Massive Text Corpora 2017 SIGMOD 4.1945683e-05
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