The Complexity of Aggregates over Extractions by Regular Expressions

February 20, 2020 Β· Declared Dead Β· πŸ› International Conference on Database Theory

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Authors Johannes Doleschal, Benny Kimelfeld, Wim Martens arXiv ID 2002.08828 Category cs.DB: Databases Cross-listed cs.FL Citations 9 Venue International Conference on Database Theory Last Checked 4 months ago
Abstract
Regular expressions with capture variables, also known as regex-formulas, extract relations of spans (intervals identified by their start and end indices) from text. In turn, the class of regular document spanners is the closure of the regex formulas under the Relational Algebra. We investigate the computational complexity of querying text by aggregate functions, such as sum, average, and quantile, on top of regular document spanners. To this end, we formally define aggregate functions over regular document spanners and analyze the computational complexity of exact and approximate computation. More precisely, we show that in a restricted case, all studied aggregate functions can be computed in polynomial time. In general, however, even though exact computation is intractable, some aggregates can still be approximated with fully polynomial-time randomized approximation schemes (FPRAS).
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