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Spanners: A Formal Framework for Information Extraction

Summary: Propose "spanners": functions mapping strings to span-relations, formalizing primitive representations (regex with capture variables and two automata models) and their algebraic closure. Prove one automaton equals regex captures, the other characterizes regular spanners; introduce core spanners with string-equality and show regular spanners closed under difference but core spanners are not. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1588
Venue
PODS
Year
2013
Pagerank
5.0383288e-05
Overall Rank
6,487 | 54.92%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Rank Citing Paper Year Venue Pagerank
3,045 Dichotomies in the Complexity of Preferred Repairs 2015 PODS 7.6618214e-05
5,406 Cleaning Inconsistencies in Information Extraction via Prioritized Repairs 2014 PODS 5.5239588e-05
6,345 A Relational Framework for Classifier Engineering 2017 PODS 5.0970607e-05
9,429 Database Principles in Information Extraction 2014 PODS 4.3399748e-05
12,070 Next Generation Data Analytics at IBM Research 2013 VLDB 4.1905499e-05
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Outgoing Citations (Sorted by Pagerank)

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