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Approximate Querying of XML Fuzzy Data

  • Patrice Buche
  • Juliette Dibie-Barthélemy
  • Fanny Wattez
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4027)

Abstract

The MIEL++ system integrates data expressed in two different formalisms: a relational database and an XML database. The XML database is filled with data semi-automatically retrieved from the Web, which have been semantically enriched according to the ontology used in the relational database. These data may be imprecise and represented as possibility distributions. The MIEL++ querying system scans the two databases simultaneously in a transparent way for the end-user. To scan the XML database, the MIEL query is translated into an XML tree query. In this paper, we propose to introduce flexibility into the query processing of the XML database, in order to take into account the imperfections due to the semantic enrichment of its data. This flexibility relies on fuzzy queries and query rewriting which consists in generating a set of approximate queries from an original query using three transformation techniques: deletion, renaming and insertion of query nodes.

Keywords

Query Processing Possibility Distribution Fuzzy Data Imprecise Data Possibility Degree 
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-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Patrice Buche
    • 1
  • Juliette Dibie-Barthélemy
    • 1
    • 2
  • Fanny Wattez
    • 1
    • 2
  1. 1.Mét@risk MIA INRAParis
  2. 2.UMR MIA INA P-G/INRAParis

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