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When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.ICDT.2016.17
URN: urn:nbn:de:0030-drops-57867
URL: http://drops.dagstuhl.de/opus/volltexte/2016/5786/
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Freydenberger, Dominik D. ; Holldack, Mario

Document Spanners: From Expressive Power to Decision Problems

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Abstract

We examine document spanners, a formal framework for information extraction that was introduced by Fagin et al. (PODS 2013). A document spanner is a function that maps an input string to a relation over spans (intervals of positions of the string). We focus on document spanners that are defined by regex formulas, which are basically regular expressions that map matched subexpressions to corresponding spans, and on core spanners, which extend the former by standard algebraic operators and string equality selection. First, we compare the expressive power of core spanners to three models - namely, patterns, word equations, and a rich and natural subclass of extended regular expressions (regular expressions with a repetition operator). These results are then used to analyze the complexity of query evaluation and various aspects of static analysis of core spanners. Finally, we examine the relative succinctness of different kinds of representations of core spanners and relate this to the simplification of core spanners that are extended with difference operators.

BibTeX - Entry

@InProceedings{freydenberger_et_al:LIPIcs:2016:5786,
  author =	{Dominik D. Freydenberger and Mario Holldack},
  title =	{{Document Spanners: From Expressive Power to Decision Problems}},
  booktitle =	{19th International Conference on Database Theory (ICDT 2016)},
  pages =	{17:1--17:17},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-002-6},
  ISSN =	{1868-8969},
  year =	{2016},
  volume =	{48},
  editor =	{Wim Martens and Thomas Zeume},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2016/5786},
  URN =		{urn:nbn:de:0030-drops-57867},
  doi =		{10.4230/LIPIcs.ICDT.2016.17},
  annote =	{Keywords: Information extraction, document spanners, regular expressions, regex, patterns, word equations, decision problems, descriptional complexity}
}

Keywords: Information extraction, document spanners, regular expressions, regex, patterns, word equations, decision problems, descriptional complexity
Seminar: 19th International Conference on Database Theory (ICDT 2016)
Issue Date: 2016
Date of publication: 29.02.2016


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