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Converting XML DTDs to UML diagrams for conceptual data integration
Source Data & Knowledge Engineering archive
Volume 44 ,  Issue 3  (March 2003) table of contents
Special issue: Data integration over the Web
Pages: 323 - 346  
Year of Publication: 2003
ISSN:0169-023X
Authors
Mikael R. Jensen  Department of Computer Science, Aalborg University, Fredrik Bajers Vej 7E, 9220 Aalborg Ø, Denmark
Thomas H. Møller  Department of Computer Science, Aalborg University, Fredrik Bajers Vej 7E, 9220 Aalborg Ø, Denmark
Torben Bach Pedersen  Department of Computer Science, Aalborg University, Fredrik Bajers Vej 7E, 9220 Aalborg Ø, Denmark
Publisher
Elsevier Science Publishers B. V.  Amsterdam, The Netherlands, The Netherlands
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DOI Bookmark: 10.1016/S0169-023X(02)00142-8

ABSTRACT

Extensible Markup Language (XML) is fast becoming the new standard for data representation and exchange on the World Wide Web, e.g., in B2B e-commerce. Modern enterprises need to combine data from many sources in order to answer important business questions, creating a need for integration of web-based XML data. Previous web-based data integration efforts have focused almost exclusively on the logical level of data models, creating a need for techniques that focus on the conceptual level in order to communicate the structure and properties of the available data to users at a higher level of abstraction. The most widely used conceptual model at the moment is the Unified Modeling Language (UML).This paper presents algorithms for automatically constructing UML diagrams from XML DTDs, enabling fast and easy graphical browsing of XML data sources on the web. The algorithms capture important semantic properties of the XML data such as precise cardinalities and aggregation (containment) relationships between the data elements. As a motivating application, it is shown how the generated diagrams can be used for the conceptual design of data warehouses based on web data, and an integration architecture is presented. The choice of data warehouses and On-Line Analytical Processing as the motivating application is another distinguishing feature of the presented approach.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Mikael R. Jensen: colleagues
Thomas H. Møller: colleagues
Torben Bach Pedersen: colleagues