YAM++ -- Results for OAEI 2011

Conference object English OPEN
Ngo , Duy Hoa; Bellahsene , Zohra; Coletta , Remi;
(2011)
  • Publisher: HAL CCSD
  • Subject: YAM++ | [ INFO.INFO-DB ] Computer Science [cs]/Databases [cs.DB] | Ontology matching

International audience; The YAM++ system is a self configuration, flexible and extensible ontology matching system. The key idea behind YAM++ system is based on machine learning and similarity flooding approaches. In this paper, we briefly present the YAM++ and its resu... View more
  • References (9)

    1. Fabien Duchateau, Remi Coletta, Zohra Bellahsene, and Rene´e J. Miller. Yam: a schema matcher factory. In CIKM Conference, pages 2079-2080, 2009.

    2. Je´roˆme Euzenat and Pavel Shvaiko. Ontology matching. Springer-Verlag, Heidelberg (DE), 2007.

    3. Feiyu Lin and Kurt Sandkuhl. A survey of exploiting wordnet in ontology matching. In IFIP AI, pages 341-350, 2008.

    4. C. Meilicke and H. Stuckenschmidt. Analyzing mapping extraction approaches. In In Proc. of the ISWC 2007 Workshop on Ontology Matching, Busan, Korea, 2007.

    5. Sergey Melnik, Hector Garcia-Molina, and Erhard Rahm. Similarity flooding: A versatile graph matching algorithm and its application to schema matching. In ICDE, pages 117-128, 2002.

    6. DuyHoa Ngo, Zohra Bellahsene, and Remi Coletta. A flexible system for ontology matching. In Caise 2011 Forum, 2011.

    7. DuyHoa Ngo, Zohra Bellasene, and Remi Coletta. A generic approach for combining linguistic and context profile metrics in ontology matching. In ODBASE Conference, 2011.

    8. Giorgos Stoilos, Giorgos B. Stamou, and Stefanos D. Kollias. A string metric for ontology alignment. In ISWC Conference, pages 624-637, 2005.

    9. Ian H. Witten and Eibe Frank. Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations. Morgan Kaufmann, October 1999.

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