The Community for Technology Leaders
2013 IEEE 29th International Conference on Data Engineering Workshops (ICDEW) (2006)
Atlanta, Georgia
Apr. 3, 2006 to Apr. 7, 2006
ISBN: 0-7695-2571-7
pp: 81
Jan Hegewald , Humboldt-Universitat zu Berlin
Melanie Weis , Humboldt-Universitat zu Berlin
Felix Naumann , Humboldt-Universitat zu Berlin
XML is the de facto standard format for data exchange on the Web. While it is fairly simple to generate XML data, it is a complex task to design a schema and then guarantee that the generated data is valid according 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 having a schema - efficient querying and storage of XML data, semantic verification, data integration, etc.- this schema must be extracted. <p>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 applying several heuristics to deduce regular expressions that are 1-unambiguous and describe each element?s contents correctly but generalized to a reasonable degree. Our approach features several advantages over known techniques: XStruct scales to very large documents (beyond 1GB) both in time and memory consumption; it is able to extract a general, complete, correct, minimal, and understandable schema for multiple documents; it detects datatypes and attributes. Experiments confirm these features and properties.</p>
Jan Hegewald, Melanie Weis, Felix Naumann, "XStruct: Efficient Schema Extraction from Multiple and Large XML Documents", 2013 IEEE 29th International Conference on Data Engineering Workshops (ICDEW), vol. 00, no. , pp. 81, 2006, doi:10.1109/ICDEW.2006.166
105 ms
(Ver )