@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 = "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.",
}
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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.</abstract>
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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 http://www.lrec-conf.org/proceedings/lrec2010/pdf/703_Paper.pdf
Markdown (Informal)
[Integrating a Large Domain Ontology of Species into WordNet](http://www.lrec-conf.org/proceedings/lrec2010/pdf/703_Paper.pdf) (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).