Uncertainty in Ontology Matching: A Decision Rule-Based Approach

  • Amira Essaid
  • Arnaud Martin
  • Grégory Smits
  • Boutheina Ben Yaghlane
Part of the Communications in Computer and Information Science book series (CCIS, volume 442)

Abstract

Considering the high heterogeneity of the ontologies published on the web, ontology matching is a crucial issue whose aim is to establish links between an entity of a source ontology and one or several entities from a target ontology. Perfectible similarity measures, considered as sources of information, are combined to establish these links. The theory of belief functions is a powerful mathematical tool for combining such uncertain information. In this paper, we introduce a decision process based on a distance measure to identify the best possible matching entities for a given source entity.

Keywords

Theory of belief functions decision rule Jousselme distance ontology matching 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Amira Essaid
    • 1
    • 2
  • Arnaud Martin
    • 2
  • Grégory Smits
    • 2
  • Boutheina Ben Yaghlane
    • 3
  1. 1.LARODECUniversity of Tunis, ISG TunisTunisia
  2. 2.IRISA, University of Rennes1LannionFrance
  3. 3.LARODECUniversity of Carthage, IHEC CarthageTunisia

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