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Uncertainty in Ontology Matching: A Decision Rule-Based Approach

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 نشر من قبل Arnaud Martin
 تاريخ النشر 2015
  مجال البحث الهندسة المعلوماتية
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Considering the high heterogeneity of the ontologies pub-lished 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, consid-ered 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 pro-cess based on a distance measure to identify the best possible matching entities for a given source entity.



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