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Fuzzy Techniques for XML Data Smushing

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Computational Intelligence. Theory and Applications (Fuzzy Days 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2206))

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Abstract

The recently proposed notion of a Semantic Web requires XML/RDF processing techniques ablt to locate, extract and organise heterogeneous information contained in XML documents coming from different sites, dealing flexibly with differences in structure and tag vocabulary. Such techniques shouls operate even when tagging is done in accordance with non-informative schemata, and even when no schema is available at all. In this paper, we review the main problems related to the processing and restructuring of large amounts of XML-based data, and propose some soultions in the framework of a flexible query and processing model for well-formed CML documents.

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References

  1. G. Bordogna, D. Lucarella, G. Pasi, “A Fuzzy Object Oriented Data Model”, IEEE International Conference on Fuzzy Systems, Vol.1, 1994, pp.313–317.

    Article  Google Scholar 

  2. B. Bouchon-Meunier, M. Rifqi, S. Bothorel, “Towards General Measures of Comparison of Objects”, Fuzzy Sets and Systems, vol.84, 1996.

    Google Scholar 

  3. P. Burchard, “Cut-Paste Metrics: String Matching”, http://www/pobox.com/burchard/bio/fuzzymatch/, 2000

  4. S. Ceri, A. Bonifati, “Comparison of XML Query Languages”, SIGMOD Record 21(1) (2000).

    Google Scholar 

  5. R. Cohem, G. Di Battista, A. Kanevsky, R. Tamassia. “Reinventing the Wheel: An Optimal Data Structure for Connectivity Queries”. Proc. of ACM-TOC Symp. on the Theory of Computing. S.Diego, CA, (US) (1993).

    Google Scholar 

  6. S. Comai, E. Damiani, R. Posenato, L. Tanca. “A Schema-Based Approach to Modelling and Querying WWW Data”. In H. Christiansen, ed., Proceedings of Flexible Query Answering Systems (FQAS’ 98), Roskilde (Denmark), Lecture Notes in Artificial Intelligence 1495, Springer (1998).

    Google Scholar 

  7. S. Comai, E. Damiani, R. Posenato, L. Tanca. “XML=-GL: a Graphical Language for Querying and Restructuring XML Documents”, Computer Networks, Vol. 31, (1999), pp. 1171–1187.

    Article  Google Scholar 

  8. S. Cohen, Y. Kogan, W. Nutt, Y. Sagiv, A. Serebrenik. “EquiX: Easy Querying in XML Databases in XML Databases” WebDB (Informal Proceedings), 2000.

    Google Scholar 

  9. E. Damiani, M.G. Fugini, C. Bellettini, “A Hierarchy Aware Approach to Faceted Classification of Object-Oriented Components”. ACM Transactions on Software Engineering Methodologies, vol.8 n.3 pp.215–262, 1999.

    Article  Google Scholar 

  10. E. Damiani, L. Tanca. “Blin Queries to XML Data”. Proceedings of DEXA 2000, London, UK, September 4–8, 2000. Lecture Notes in Computer Science, Vol. 1873, Springer, 2000, Pages, 345–356.

    Google Scholar 

  11. E. Damiani, L. Tanca, F. Arcelli Fontana. “Fuzzy XML Queries via Context-based Choice of Aggregations”, Kybernetika n.16 vol.4, 2000.

    Google Scholar 

  12. D. Dubois, F. Esteva, P. Garcia, L. Godo, R. Lopez de Mantaras, H. Prade. “Fuzzy Set Modelling in Case-Based Reasoning”. Int. Jour. of Intelligent Systems 13(1) (1998).

    Google Scholar 

  13. D. Dubois, H. Prade, F. Sedes. “Fuzzy Logic Techniques in Multimedia Database Querying: A Preliminary Investigations of the Potentials”. In D. Meersman, Z. Tari, and S. Stevens, eds., Database Semantics: Semantic Issues in Multimedia Systems, Kluwer Academic Publisher (1999).

    Google Scholar 

  14. W3C. Extensible Stylesheet Language (XSL) Version 1.0. October 2000. http://www.w3C.org/TR/xsl/

  15. W3C. Extensible Markup Language (XML) 1.0. Feb. 1998. http://www.w3C.org/TR/REC-xml/

  16. W3C. Resource Description Framework (RDF) Model and Syntax Specification. W3C Recommendation 22 February 1999. http://www.w3.org/TR/REC-rdf-syntax/

  17. W3C. Namespaces in XML W3C Recommendation 14 January 1999. http://www.w3.org/TR/1999/REC-xml-names-19990114/

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Author information

Authors and Affiliations

  1. Dipartimento di Technologie dell’Informazione, Università di Milano, Via Bramante 65, 2601, Crema, Italy

    Ernesto Damiani, Barbara Olibini & Letizia Tanca

Authors
  1. Ernesto Damiani
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  2. Barbara Olibini
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  3. Letizia Tanca
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Editor information

Editors and Affiliations

  1. Computer Science I, University of Dortmund, 44221, Dortmund, Germany

    Bernd Reusch

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© 2001 Springer-Verlag Berlin Heidelberg

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Damiani, E., Olibini, B., Tanca, L. (2001). Fuzzy Techniques for XML Data Smushing. In: Reusch, B. (eds) Computational Intelligence. Theory and Applications. Fuzzy Days 2001. Lecture Notes in Computer Science, vol 2206. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45493-4_65

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  • DOI: https://doi.org/10.1007/3-540-45493-4_65

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42732-2

  • Online ISBN: 978-3-540-45493-9

  • eBook Packages: Springer Book Archive

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