Guidelines for multilingual linked data

Gómez-Pérez, A. and Vila Suero, Daniel and Montiel-Ponsoda, Elena and Gracia Del Río, Jorge and Aguado de Cea, G. (2013). Guidelines for multilingual linked data. In: "3rd International Conference on Web Intelligence, Mining and Semantics", 12-14 Jun 2013, Madrid, España. ISBN 978-1-4503-1850-1.

Description

Title: Guidelines for multilingual linked data
Author/s:
  • Gómez-Pérez, A.
  • Vila Suero, Daniel
  • Montiel-Ponsoda, Elena
  • Gracia Del Río, Jorge
  • Aguado de Cea, G.
Item Type: Presentation at Congress or Conference (Article)
Event Title: 3rd International Conference on Web Intelligence, Mining and Semantics
Event Dates: 12-14 Jun 2013
Event Location: Madrid, España
Title of Book: WIMS'13: proceedings of the 3rd International Conference on Web Intelligence, Mining and Semantics
Date: 2013
ISBN: 978-1-4503-1850-1
Subjects:
Freetext Keywords: Semantic Web - Linked Data - Multilingual
Faculty: Facultad de Informática (UPM)
Department: Inteligencia Artificial
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

In this article, we argue that there is a growing number of linked datasets in different natural languages, and that there is a need for guidelines and mechanisms to ensure the quality and organic growth of this emerging multilingual data network. However, we have little knowledge regarding the actual state of this data network, its current practices, and the open challenges that it poses. Questions regarding the distribution of natural languages, the links that are established across data in different languages, or how linguistic features are represented, remain mostly unanswered. Addressing these and other language-related issues can help to identify existing problems, propose new mechanisms and guidelines or adapt the ones in use for publishing linked data including language-related features, and, ultimately, provide metrics to evaluate quality aspects. In this article we review, discuss, and extend current guidelines for publishing linked data by focusing on those methods, techniques and tools that can help RDF publishers to cope with language barriers. Whenever possible, we will illustrate and discuss each of these guidelines, methods, and tools on the basis of practical examples that we have encountered in the publication of the datos.bne.es dataset.

More information

Item ID: 29824
DC Identifier: http://oa.upm.es/29824/
OAI Identifier: oai:oa.upm.es:29824
Official URL: http://dl.acm.org/citation.cfm?id=2479867
Deposited by: Memoria Investigacion
Deposited on: 13 Jun 2014 11:34
Last Modified: 22 Apr 2016 00:12
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