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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References
S. Abiteboul. Querying Semi-Structured Data. In F. Afrati and P. Kolaitis, editors, Database Theory-ICDT’97, pages 1–18, 1997.
E. Bertino, G. Guerrini, and M. Mesiti. Measuring the Structural Similary among XML Documents and DTDs. Technical Report DISI-TR-02-02, Dipartimento di Informatica e Scienze dell’Informazione, Universitá di Genova, December 2001. Available at http://www.disi.unige.it/person/MesitiM.
M. N. Garofalakis, A. Gionis, R. Rastogi, S. Seshadri, and K. Shim. XTRACT: A System for Extracting Document Type Descriptors from XML Documents. In Proc. of the ACM SIGMOD Int’l Conf. on Management of Data, pages 165–176, 2000.
J. H. Han, and M. Kamber. Data Mining, Concepts and Techniques. Morgan Kaufmann. 2001.
A. Miller. WordNet: A Lexical Database for English. Communications of the ACM, 38(11):39–41, November 1995.
C. Moh, E. Lim, and W. Ng. Re-engineering Structures from Web Documents. In Proc. of the Fifth ACM Int’l Conf. on Digital Libraries, pages 67–76, 2000.
S. Nestorov, S. Abiteboul, and R. Motwani. Extracting Schema from Semistructured Data. In L. M. Haas and A. Tiwary, editors, Proc. of the ACM SIGMOD Int’l Conf. on Management of Data, pages 295–306, 1998.
W3C. Extensible Markup Language (XML) 1.0, 1998.
K. Wang and H. Liu. Discovering Typical Structures of Documents: a Road Map Approach. In Proc of the Twentyfirst Annual Int’l ACM SIGIR Conf. on Research and Development in Information Retrieval, pages 146–154, 1998.
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Bertino, E., Guerrini, G., Mesiti, M., Tosetto, L. (2002). Evolving a Set of DTDs According to a Dynamic Set of XML Documents. In: Chaudhri, A.B., Unland, R., Djeraba, C., Lindner, W. (eds) XML-Based Data Management and Multimedia Engineering — EDBT 2002 Workshops. EDBT 2002. Lecture Notes in Computer Science, vol 2490. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36128-6_4
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DOI: https://doi.org/10.1007/3-540-36128-6_4
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