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Finding Similar Objects in Relational Databases — An Association-Based Fuzzy Approach

  • Olivier Pivert
  • Grégory Smits
  • Hélène Jaudoin
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8132)

Abstract

This paper deals with the issue of extending the scope of a user query in order to retrieve objects which are similar to its “strict answers”. The approach proposed exploits associations between database items, corresponding, e.g., to the presence of foreign keys in the database schema. Fuzzy concepts such as typicality, similarity and linguistic quantifiers are at the heart of the approach and make it possible to obtain a ranked list of similar answers.

Keywords

Recommender System Target Object Relational Database User Query Recommendation Process 
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 2013

Authors and Affiliations

  • Olivier Pivert
    • 1
  • Grégory Smits
    • 2
  • Hélène Jaudoin
    • 1
  1. 1.Irisa – Enssat, University of Rennes 1, Technopole AnticipaLannion CedexFrance
  2. 2.Irisa – Enssat, IUT Lannion, Technopole AnticipaLannion CedexFrance

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