Memorias de investigación
Communications at congresses:
Zhishi.lemon: On Publishing Zhishi.me as Linguistic Linked Open Data
Year:2016

Research Areas
  • Information technology and adata processing

Information
Abstract
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).
International
Si
Congress
15th International Semantic Web Conference (ISWC'16)
960
Place
Kobe (Japon)
Reviewers
Si
ISBN/ISSN
9783319465470
10.1007/978-3-319-46547-0_6
Start Date
17/10/2016
End Date
21/10/2016
From page
47
To page
55
15th International Semantic Web Conference, Kobe, Japan, October 17?21, 2016, Proceedings, Part II
Participants
  • 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

Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Ontology Engineering Group
  • Departamento: Inteligencia Artificial