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Combining ontology alignment metrics using the data mining techniques

Bagheri Hariri, B ; Sharif University of Technology | 2006

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  1. Type of Document: Article
  2. Publisher: 2006
  3. Abstract:
  4. Several metrics have been proposed for recognition of relationships between elements of two Ontologies. Many of these methods select a number of such metrics and combine them to extract existing mappings. In this article, we present a method for selection of more effective metrics - based on data mining techniques. Furthermore, by having a set of metrics, we suggest a data-mining-like means for combining them into a better ontology alignment
  5. Keywords:
  6. Ontology alignment ; Artificial intelligence ; Data mining
  7. Source: 2nd International Workshop on Contexts and Ontologies: Theory, Practice and Applications, C and O 2006 - Collocated with the 17th European Conference on Artificial Intelligence, ECAI 2006, Riva del Garda, 28 August 2006 through 28 August 2006 ; Volume 210 , 2006 ; 16130073 (ISSN)
  8. URL: http://ceur-ws.org/Vol-210
  9. URL: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.124.5669&rep=rep1&type=pdf