Algorithms for clustering data
Algorithms for clustering data
XTRACT: a system for extracting document type descriptors from XML documents
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Re-engineering structures from Web documents
DL '00 Proceedings of the fifth ACM conference on Digital libraries
DataGuides: Enabling Query Formulation and Optimization in Semistructured Databases
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
WWW '03 Proceedings of the 12th international conference on World Wide Web
DTDs versus XML schema: a practical study
Proceedings of the 7th International Workshop on the Web and Databases: colocated with ACM SIGMOD/PODS 2004
Taxonomy of XML schema languages using formal language theory
ACM Transactions on Internet Technology (TOIT)
Inferring XML schema definitions from XML data
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Towards inference of more realistic XSDs
Proceedings of the 2009 ACM symposium on Applied Computing
On inference of XML schema with the knowledge of an obsolete one
ADC '09 Proceedings of the Twentieth Australasian Conference on Australasian Database - Volume 92
Proceedings of the 16th International Database Engineering & Applications Sysmposium
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The XML has undoubtedly become a standard for data representation and manipulation. But most of XML documents are still created without the respective description of its structure, i.e. an XML schema. Hence, in this paper we focus on the problem of automatic inferring of an XML schema for a given sample set of XML documents. In particular, we focus on new features of XML Schema language and we propose an algorithm which is an improvement of a combination of verified approaches that is, at the same time, enough general and can be further enhanced. Using a set of experiments we illustrate the behavior of the algorithm on both real-world and artificial XML data.