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Journal Articles Theoretical Computer Science Year : 2015

Early Nested Word Automata for XPath Query Answering on XML Streams

Denis Debarbieux
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Joachim Niehren
Tom Sebastian
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Abstract

Algorithms for answering XPath queries on Xml streams have been studied intensively in the last decade. Nevertheless, there still exists no solution with high efficiency and large coverage. In this paper, we introduce early nested word automata in order to approximate earliest query answering algorithms for nested word automata. Our early query answering algorithm is based on stack-and-state sharing for running early nested word automata on all answer candidates with on-the-fly determinization. We prove tight upper complexity bounds on time and space consumption. We have implemented our algorithm in the QuiXPath system and show that it outperforms all previous tools in coverage on the XPathMark benchmark, while obtaining very high time and space efficiency and scaling to huge Xml streams. Furthermore, it turns out that our early query answering algorithm is earliest in practice on most queries from the XPathMark benchmark.
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Dates and versions

hal-00966625 , version 1 (20-02-2015)

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Denis Debarbieux, Olivier Gauwin, Joachim Niehren, Tom Sebastian, Mohamed Zergaoui. Early Nested Word Automata for XPath Query Answering on XML Streams. Theoretical Computer Science, 2015, 578, pp.100-125. ⟨10.1016/j.tcs.2015.01.017⟩. ⟨hal-00966625⟩
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