Recursive Programs for Document Spanners
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Recursive Programs for Document Spanners

Authors Liat Peterfreund, Balder ten Cate, Ronald Fagin, Benny Kimelfeld

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Author Details

Liat Peterfreund
  • Technion, Haifa 32000, Israel
Balder ten Cate
  • Google, Inc., Mountain View, CA 94043, USA
Ronald Fagin
  • IBM Research - Almaden, San Jose, CA 95120, USA
Benny Kimelfeld
  • Technion, Haifa 32000, Israel

Funding

  • Peterfreund, Liat: Supported by the Technion Hiroshi Fujiwara Cyber Security Research Center and the Israel Cyber Bureau and by the Israel Science Foundation (ISF) Grant 1295/15.
  • Kimelfeld, Benny: Supported by the Israel Science Foundation (ISF) Grant 1295/15.

Cite As Get BibTex

Liat Peterfreund, Balder ten Cate, Ronald Fagin, and Benny Kimelfeld. Recursive Programs for Document Spanners. In 22nd International Conference on Database Theory (ICDT 2019). Leibniz International Proceedings in Informatics (LIPIcs), Volume 127, pp. 13:1-13:18, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019) https://doi.org/10.4230/LIPIcs.ICDT.2019.13

Abstract

A document spanner models a program for Information Extraction (IE) as a function that takes as input a text document (string over a finite alphabet) and produces a relation of spans (intervals in the document) over a predefined schema. A well-studied language for expressing spanners is that of the regular spanners: relational algebra over regex formulas, which are regular expressions with capture variables. Equivalently, the regular spanners are the ones expressible in non-recursive Datalog over regex formulas (which extract relations that constitute the extensional database). This paper explores the expressive power of recursive Datalog over regex formulas. We show that such programs can express precisely the document spanners computable in polynomial time. We compare this expressiveness to known formalisms such as the closure of regex formulas under the relational algebra and string equality. Finally, we extend our study to a recently proposed framework that generalizes both the relational model and the document spanners.

Subject Classification

ACM Subject Classification
  • Theory of computation → Complexity theory and logic
  • Information systems → Relational database model
  • Information systems → Data model extensions
Keywords
  • Information Extraction
  • Document Spanners
  • Polynomial Time
  • Recursion
  • Regular Expressions
  • Datalog

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