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Memorias de investigación
Ponencias en congresos:
Zhishi.lemon: On Publishing Zhishi.me as Linguistic Linked Open Data
Año:2016
Áreas de investigación
  • Ciencias de la computación y tecnología informática
Datos
Descripción
Recently, a growing number of linguistic resources in different languages have been published and interlinked as part of the Linguistic Linked Open Data (LLOD) cloud. However, in comparison to English and other prominent languages, the presence of Chinese in such a cloud is still limited, despite the fact that Chinese is the most spoken language worldwide. Publishing more Chinese language resources in the LLOD cloud can benefit both academia and industry to better understand the language itself and to further build multilingual applications that will improve the flow of data and services across countries. In this paper we describe Zhishi.lemon, a newly developed dataset based on the lemon model that constitutes the lexical realization of Zhishi.me, one of the largest Chinese datasets in the Linked Open Data (LOD) cloud. Zhishi.lemon combines the lemon core with the lemon translation module in order to build a linked data lexicon in Chinese with translations into Spanish and English. Links to BabelNet (a vast multilingual encyclopedic resource) have been provided as well.We also present a showcase of this module along with the technical details of transforming Zhishi.me to Zhishi.lemon. The dataset is accessible on the Web for both humans (via a Web interface) and software agents (with a SPARQL endpoint).
Internacional
Si
Nombre congreso
15th International Semantic Web Conference (ISWC'16)
Tipo de participación
960
Lugar del congreso
Kobe (Japon)
Revisores
Si
ISBN o ISSN
9783319465470
DOI
10.1007/978-3-319-46547-0_6
Fecha inicio congreso
17/10/2016
Fecha fin congreso
21/10/2016
Desde la página
47
Hasta la página
55
Título de las actas
15th International Semantic Web Conference, Kobe, Japan, October 17?21, 2016, Proceedings, Part II
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Zhijia Fang (East China University of Science and Technology)
  • Autor: Haofen Wang (East China University of Science and Technology)
  • Autor: Jorge Gracia Del Rio (UPM)
  • Autor: Julia Bosque Gil (UPM)
  • Autor: Tong Ruan (East China University of Science and Technology)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Ontology Engineering Group
  • Departamento: Inteligencia Artificial
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