Summary of the paper

Title A General Methodology for Mapping EuroWordNets to the Suggested Upper Merged Ontology
Authors Dennis Spohr
Abstract This paper presents a general methodology to mapping EuroWordNets (Vossen, 1998) to the Suggested Upper Merged Ontology (SUMO; Niles and Pease (2001)), and we show its application to the French EuroWordNet. The process makes use of existing work on mapping Princeton WordNet (Fellbaum, 1998) to SUMO (Niles and Pease, 2003). After a general discussion of the usefulness of our approach, we provide details on the procedure of mapping individual EuroWordNet synsets to SUMO conceptual classes, and discuss issues arising from a fully automatic mapping. In addition to this, we present a quantitative analysis of the thus created semantic resource and discuss how the accuracy in determining the correct SUMO class for a particular EuroWordNet synset might be improved. Finally, we briefly hint at how such resources may be used, e.g. in order to extract selectional preferences of verbal predicates with respect to the ontological categories of their syntactic arguments.
Language Multiple languages
Topics Ontologies, Multilinguality, Knowledge representation
Full paper A General Methodology for Mapping EuroWordNets to the Suggested Upper Merged Ontology
Slides A General Methodology for Mapping EuroWordNets to the Suggested Upper Merged Ontology
Bibtex @InProceedings{SPOHR08.7,
  author = {Dennis Spohr},
  title = {A General Methodology for Mapping EuroWordNets to the Suggested Upper Merged Ontology},
  booktitle = {Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)},
  year = {2008},
  month = {may},
  date = {28-30},
  address = {Marrakech, Morocco},
  editor = {Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odijk, Stelios Piperidis, Daniel Tapias},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {2-9517408-4-0},
  note = {http://www.lrec-conf.org/proceedings/lrec2008/},
  language = {english}
  }

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