
Prof. Dr. Felix Naumann
Hasso-Plattner-Institut
für Softwaresystemtechnik
Prof.-Dr.-Helmert-Str. 2-3
D-14482 Potsdam, Germany
Paper accepted at SSDBM
Proceedings of the 24th International Conference on Scientific and Statistical Database...
JWS Article Accepted
Integrating Open Government Data with Stratosphere for more Transparency Arvid Heise and Felix...
LREC Paper Accepted
The eighth international conference on Language Resources and Evaluation (LREC), Istanbul,...
Daniel Rinser wins award for his masters thesis
IQ Best Master Degree Wettbewerb der Deutschen Gesellschaft für Informations- und Datenqualität e....
HPI TV releases video about GovWILD
See the new video about our Government Data Integration platform GovWILD.
Tool voidGen released
As part of our winning submission at the 2010 Billion Triple Challenge at the International...
ICDE Paper Accepted
28th IEEE International Conference on Data Engineering (ICDE) Washington, DC, USA Adaptive...
Content
Authors
Jan Hegewald, Felix Naumann, Melanie Weis
Description
This paper describes a tool called XStruct, which provides functionality to extract the schema of XML files automatically. You can find the tool here.
Abstract
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.
In this paper we present an automatic technique, XStruct, for XML Schema extraction. Based on ideas of [1], 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. [more]
[1] J.-K. Min, J.-Y. Ahn, and C.-W. Chung. Efficient extraction of schemas for XML documents. Information Processing Letters, 85:7-12, 2003.


