Integrating a Large Domain Ontology of Species into WordNet

Montse Cuadros; Egoitz Laparra; German Rigau; Piek Vossen; Wauter Bosma

Integrating a Large Domain Ontology of Species into WordNet

Montse Cuadros, Egoitz Laparra, German Rigau, Piek Vossen, Wauter Bosma

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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.

Anthology ID:: L10-1488
Volume:: Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)
Month:: May
Year:: 2010
Address:: Valletta, Malta
Editors:: Nicoletta Calzolari, Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odijk, Stelios Piperidis, Mike Rosner, Daniel Tapias
Venue:: LREC
SIG:
Publisher:: European Language Resources Association (ELRA)
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Pages:
Language:
URL:: http://www.lrec-conf.org/proceedings/lrec2010/pdf/703_Paper.pdf
DOI:
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Cite (ACL):: Montse Cuadros, Egoitz Laparra, German Rigau, Piek Vossen, and Wauter Bosma. 2010. Integrating a Large Domain Ontology of Species into WordNet. In Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10), Valletta, Malta. European Language Resources Association (ELRA).
Cite (Informal):: Integrating a Large Domain Ontology of Species into WordNet (Cuadros et al., LREC 2010)
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PDF:: http://www.lrec-conf.org/proceedings/lrec2010/pdf/703_Paper.pdf

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@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",
    editor = "Calzolari, Nicoletta  and
      Choukri, Khalid  and
      Maegaard, Bente  and
      Mariani, Joseph  and
      Odijk, Jan  and
      Piperidis, Stelios  and
      Rosner, Mike  and
      Tapias, Daniel",
    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 = "https://aclanthology.org/L10-1488/",
    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."
}

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%0 Conference Proceedings
%T Integrating a Large Domain Ontology of Species into WordNet
%A Cuadros, Montse
%A Laparra, Egoitz
%A Rigau, German
%A Vossen, Piek
%A Bosma, Wauter
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Odijk, Jan
%Y Piperidis, Stelios
%Y Rosner, Mike
%Y Tapias, Daniel
%S Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC’10)
%D 2010
%8 May
%I European Language Resources Association (ELRA)
%C Valletta, Malta
%F cuadros-etal-2010-integrating
%X 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.
%U https://aclanthology.org/L10-1488/

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Markdown (Informal)

[Integrating a Large Domain Ontology of Species into WordNet](https://aclanthology.org/L10-1488/) (Cuadros et al., LREC 2010)

Integrating a Large Domain Ontology of Species into WordNet (Cuadros et al., LREC 2010)

ACL

Montse Cuadros, Egoitz Laparra, German Rigau, Piek Vossen, and Wauter Bosma. 2010. Integrating a Large Domain Ontology of Species into WordNet. In Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10), Valletta, Malta. European Language Resources Association (ELRA).