Design and implementation of highly modular schemas for XML : customization of RuleML in relax NG

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TypeBook Chapter
Proceedings titleRule-Based Modeling and Computing on the Semantic Web : 5th International Symposium, RuleML 2011– America, Ft. Lauderdale, FL, Florida, USA, November 3-5, 2011. Proceedings
Series titleLecture Notes In Computer Science; Volume 7018
Conference5th International Symposium on Rules : Research Based and Industry Focused (RuleML 2011), November 3-5, 2011, Fort Lauderdale, Florida, USA
Pages1732; # of pages: 16
AbstractWe present a re-conceptualization and re-engineering of the non-SWSL portion of the Derivation Rules subfamily of RuleML in the Relax NG Compact (RNC) schema syntax. The benefits arising from RNC schemas include decreased positional sensitivity and greater flexibility in modularization (from fine-grained modular to monolithic), as well as unification of human-readable (\Content Models") and machine-readable (XSD/XML) versions. We introduce a Relax NG schema design pattern, enforced by RNC meta-schemas, that guarantees monotonicity (grammatical extension implies syntactic containment) when any of a large number of small expansion modules are merged. The original fifteen Derivation RuleML sublanguages are thus embedded in a syntactic lattice with hundreds of thousands of languages with semantics inherited from the top language. The original RuleML sublanguages are available through links, and customized languages are available through a GUI web-app. The GUI serves as the front end to a PHP-specified parameterized schema that takes a selection of customization options and returns a schema driver file. These options are encoded to facilitate determination of syntactic containment between any pair of languages. As in earlier (Derivation) RuleML language hierarchies, (logical) expressivity forms the backbone of the language lattice. The (parameterized) RNC schema serves as a pivot format from which XSD schemas, statistically-random XML test instances, monolithic simplified RNC content models, and HTML documentation are automatically generated. The RNC-based re-engineering of Derivation RuleML has already led to the discovery and patching of errata in RuleML versions 0.91 and 1.0, as well as to suggested enhancements of version 1.0 and a newly conceived version 1.1. The specifications of the RNC-based RuleML schemas are maintained at
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PublisherSpringer Berlin Heidelberg
AffiliationNational Research Council Canada; NRC Institute for Information Technology
Peer reviewedYes
NPARC number19669790
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Record identifier0fce25cb-109b-4077-a38e-81241369fdf8
Record created2012-03-20
Record modified2016-06-21
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