Please use this identifier to cite or link to this item:
Title: Optimizing Schema Languages for XML: Numerical Constraints and Interleaving
Authors: GELADE, Wouter 
NEVEN, Frank 
Issue Date: 2007
Publisher: Springer
Source: Proceedings of International Conference on Database Theory. p. 269-283
Series/Report: Lecture notes in computer science
Series/Report no.: 4353
Abstract: The presence of a schema offers many advantages in processing, translating, querying, and storage of XML data. Basic decision problems like equivalence, inclusion, and non-emptiness of intersection of schemas form the basic building blocks for schema optimization and integration, and algorithms for static analysis of transformations. It is thereby paramount to establish the exact complexity of these problems. Most common schema languages for XML can be adequately modeled by some kind of grammar with regular expressions at right-hand sides. In this paper, we observe that apart from the usual regular operators of union, concatenation and Kleene-star, schema languages also allow numerical occurrence constraints and interleaving operators. Although the expressiveness of these operators remain within the regular languages, their presence or absence has significant impact on the complexity of the basic decision problems. We present a complete overview of the complexity of the basic decision problems for DTDs, XSDs and Relax NG with regular expressions incorporating numerical occurrence constraints and interleaving. We also discuss chain regular expressions and the complexity of the schema simplification problem incorporating the new operators.
Keywords: Complexity, XML Schema, Decision problems
Document URI:
ISBN: 3-540-69269-X
DOI: 10.1007/11965893_19
ISI #: 000244800500019
Category: C1
Type: Proceedings Paper
Appears in Collections:Research publications

Files in This Item:
File Description SizeFormat 
icdt07.pdf204.17 kBAdobe PDFView/Open
Show full item record


checked on Sep 4, 2020


checked on May 14, 2022

Page view(s)

checked on May 20, 2022


checked on May 20, 2022

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.