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XStruct: Efficient Schema Extraction from Multiple and
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| Venue: | Large XML Documents, ICDE International Workshop on XML Schema and Data Management (XSDM), 2006 |
| Citations: | 24 - 0 self |
BibTeX
@INPROCEEDINGS{Hegewald_xstruct:efficient,
author = {Jan Hegewald and Felix Naumann and Melanie Weis},
title = {XStruct: Efficient Schema Extraction from Multiple and},
booktitle = {Large XML Documents, ICDE International Workshop on XML Schema and Data Management (XSDM), 2006},
year = {}
}
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Abstract
XML is the de facto standard format for data ex-change on the Web. While it is fairly simple to gener-ate XML data, it is a complex task to design a schema and then guarantee that the generated data is valid ac-cording to that schema. As a consequence much XML data does not have a schema or is not accompanied by its schema. In order to gain the benefits of hav-ing a schema—efficient querying and storage of XML data, semantic verification, data integration, etc.—this schema must be extracted. In this paper we present an automatic technique, XStruct, for XML Schema extraction. Based on ideas of [5], XStruct extracts a schema for XML data by ap-plying several heuristics to deduce regular expressions
