BonXai

Author:

Martens Wim1,Neven Frank2,Niewerth Matthias1,Schwentick Thomas3

Affiliation:

1. University of Bayreuth, Bayreuth, Germany

2. Hasselt University and Transnational University of Limburg, Diepenbeek, Belgium

3. TU Dortmund University, Dortmund, Germany

Abstract

While the migration from DTD to XML Schema was driven by a need for increased expressivity and flexibility, the latter was also significantly more complex to use and understand. Whereas DTDs are characterized by their simplicity, XML Schema Documents are notoriously difficult. In this article, we introduce the XML specification language BonXai, which incorporates many features of XML Schema but is arguably almost as easy to use as DTDs. In brief, the latter is achieved by sacrificing the explicit use of types in favor of simple patterns expressing contexts for elements. The goal of BonXai is not to replace XML Schema but rather to provide a simpler alternative for users who want to go beyond the expressiveness and features of DTD but do not need the explicit use of types. Furthermore, XML Schema processing tools can be used as a back-end for BonXai, since BonXai can be automatically converted into XML Schema. A particularly strong point of BonXai is its solid foundation rooted in a decade of theoretical work around pattern-based schemas. We present a formal model for a core fragment of BonXai and the translation algorithms to and from a core fragment of XML Schema. We prove that BonXai and XML Schema can be converted back-and-forth on the level of tree languages and we formally study the size trade-offs between the two languages.

Funder

Deutsche Forschungsgemeinschaft

Future and Emerging Technologies

Seventh Framework Programme for Research of the European Commission, under the FET-Open grant agreement FOX

Publisher

Association for Computing Machinery (ACM)

Subject

Information Systems

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1. Validating Streaming JSON Documents with Learned VPAs;Tools and Algorithms for the Construction and Analysis of Systems;2023

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3. Learning Disjunctive Multiplicity Expressions and Disjunctive Generalize Multiplicity Expressions From Both Positive and Negative Examples;The Computer Journal;2022-04-18

4. Membership Algorithm for Single-Occurrence Regular Expressions with Shuffle and Counting;Database Systems for Advanced Applications;2022

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