Fuzzy techniques for XML data smushing

Ernesto Damiani, Barbara Oliboni, Letizia Tanca

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

18 Scopus citations

Abstract

The recently proposed notion of a Semantic Web requires XML/RDF processing techniques able 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 should 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 solutions in the framework of a flexible query and processing model for well-formed XML documents.

Original languageBritish English
Title of host publicationComputational Intelligence
Subtitle of host publicationTheory and Applications - International Conference, 7th Fuzzy Days, Proceedings
EditorsBernd Reusch
PublisherSpringer Verlag
Pages637-652
Number of pages16
ISBN (Print)3540427325, 9783540427322
DOIs
StatePublished - 2001
Event7th International Conference on Computational Intelligence: Theory and Applications, Fuzzy Days 2001 - Dortmund, Germany
Duration: 1 Oct 20013 Oct 2001

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2206 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th International Conference on Computational Intelligence: Theory and Applications, Fuzzy Days 2001
Country/TerritoryGermany
CityDortmund
Period1/10/013/10/01

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