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FuzzyXPath: Using Fuzzy Logic an IR Features to Approximately Query XML Documents

  • Ernesto Damiani
  • Stefania Marrara
  • Gabriella Pasi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4529)

Abstract

XML has become a key technology for interoperability, providing a common data model to applications. However, diverse data modeling choices may lead to heterogeneous XML structure and content. In this paper, information retrieval and database-related techniques have been jointly applied to effectively tolerate XML data diversity in the evaluation of flexible queries. Approximate structure and content matching is supported via a straightforward extension to standard XPath syntax. Also, we outline a query execution technique representing a first step toward efficiently addressing structural pattern queries together with predicate support over XML elements content.

Keywords

Information Retrieval Query Language Structure Document Common Data Model Approximate Query 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Berlin Heidelberg 2007

Authors and Affiliations

  • Ernesto Damiani
    • 1
  • Stefania Marrara
    • 1
  • Gabriella Pasi
    • 2
  1. 1.Università degli Studi di Milano, Dipartimento di Tecnologie dell’Informazione, via Bramante 65 26013 Crema (CR)Italy
  2. 2.Università degli Studi di Milano Bicocca, DISCO, Via Bicocca degli Arcimboldi, 8 20126 Milano (MI)Italy

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