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  • 标题:Pattern Matching of Incompletely RE-Typed Expressions via Transformation
  • 本地全文:下载
  • 作者:Satoshi Okui ; Taro Suzuki
  • 期刊名称:Information and Media Technologies
  • 电子版ISSN:1881-0896
  • 出版年度:2006
  • 卷号:1
  • 期号:2
  • 页码:819-832
  • DOI:10.11185/imt.1.819
  • 出版社:Information and Media Technologies Editorial Board
  • 摘要:We offer a pattern-matching algorithm based on incomplete regular expression (IRE, for short) types. IRE types extend the regular expression types introduced by Hosoya and Pierce in the programming language XDuce. Pattern-matching for IRE-typed expressions provides a capability to uniformly access “context” parts of XML document trees within the framework of pattern-matching theory; we do not rely on external facilities (or notations) such as XPath. In order to describe our pattern-matching algorithm, we adopt a rule-based approach; that is, we present our algorithm as a set of a few simple transformation rules. These rules simulate a transition in non-deterministic top-down tree automata(though we do not deal with tree automata explicitly), while also accumulating bindings for pattern variables. Our pattern-matching algorithm is sound and complete: it enumerates all correct but no incorrect solutions. We give rigorous proofs of these properties. A small but non-trivial example illustrates the expressiveness of our framework.
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