In this paper we address the problem of evolving a set of DTDs so to obtain a description as precise as possible of the structures of the documents actually stored in a source of XML documents. This problem is highly relevant in such a dynamic and heterogeneous environment as the Web. The approach we propose relies on the use of a classification mechanism based on document structure and on the use of data mining association rules to find out frequent structural patterns in data.
Evolving a Set of DTDs According to a Dynamic Set of XML Documents / E. BERTINO, G. GUERRINI, MESITI M., TOSETTO L. - In: XML-Based Data Management and Multimedia Engineering - EDBT 2002 Workshops. Lecture Notes in Computer Science[s.l] : Springer, 2002. - ISBN 3-540-00130-1. - pp. 45-66
Evolving a Set of DTDs According to a Dynamic Set of XML Documents
M. Mesiti;
2002
Abstract
In this paper we address the problem of evolving a set of DTDs so to obtain a description as precise as possible of the structures of the documents actually stored in a source of XML documents. This problem is highly relevant in such a dynamic and heterogeneous environment as the Web. The approach we propose relies on the use of a classification mechanism based on document structure and on the use of data mining association rules to find out frequent structural patterns in data.
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