@inproceedings{cuadros-etal-2010-integrating,
    title = "Integrating a Large Domain Ontology of Species into {W}ord{N}et",
    author = "Cuadros, Montse  and
      Laparra, Egoitz  and
      Rigau, German  and
      Vossen, Piek  and
      Bosma, Wauter",
    booktitle = "Proceedings of the Seventh International Conference on Language Resources and Evaluation ({LREC}'10)",
    month = may,
    year = "2010",
    address = "Valletta, Malta",
    publisher = "European Language Resources Association (ELRA)",
    url = "http://www.lrec-conf.org/proceedings/lrec2010/pdf/703_Paper.pdf",
    abstract = "With the proliferation of applications sharing information represented in multiple ontologies, the development of automatic methods for robust and accurate ontology matching will be crucial to their success. Connecting and merging already existing semantic networks is perhaps one of the most challenging task related to knowledge engineering. This paper presents a new approach for aligning automatically a very large domain ontology of Species to WordNet in the framework of the KYOTO project. The approach relies on the use of knowledge-based Word Sense Disambiguation algorithm which accurately assigns WordNet synsets to the concepts represented in Species 2000.",
}