research-article

Guidelines for multilingual linked data

Authors:

Asunción Gómez-Pérez,

Daniel Vila-Suero,

Elena Montiel-Ponsoda,

Jorge Gracia, and

Guadalupe Aguado-de-CeaAuthors Info & Claims

WIMS '13: Proceedings of the 3rd International Conference on Web Intelligence, Mining and Semantics

June 2013

Article No.: 3, Pages 1 - 12

https://doi.org/10.1145/2479787.2479867

Published: 12 June 2013 Publication History

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.

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Cited By

Wulff E(2024)Digital HumanitiesEncyclopedia of Information Science and Technology, Sixth Edition10.4018/978-1-6684-7366-5.ch052(1-19)Online publication date: 1-Jul-2024
https://doi.org/10.4018/978-1-6684-7366-5.ch052
Kaffee LSimperl E(2018)Analysis of Editors' Languages in WikidataProceedings of the 14th International Symposium on Open Collaboration10.1145/3233391.3233965(1-5)Online publication date: 22-Aug-2018
https://dl.acm.org/doi/10.1145/3233391.3233965
BOSQUE-GIL JGRACIA JMONTIEL-PONSODA EGÓMEZ-PÉREZ A(2018)Models to represent linguistic linked dataNatural Language Engineering10.1017/S135132491800034724:6(811-859)Online publication date: 4-Oct-2018
https://doi.org/10.1017/S1351324918000347
Show More Cited By

Index Terms

Guidelines for multilingual linked data
1. Computing methodologies
  1. Artificial intelligence
    1. Philosophical/theoretical foundations of artificial intelligence

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Reviews

Reviewer: Jolanta Mizera-Pietraszko

In multilingualism, the goal is always the same: to overcome language barriers. The research problem in this paper relates to methodological guidelines for publishing linked data based on the Spanish datos.bne.es dataset. The authors review existing technologies, tools, and resources with the goal of providing high-quality data to users working in multilingual environments. The distribution of natural languages across datasets in a resource description framework (RDF) indicates that less than a quarter of them operate in more than one language. The guidelines are analyzed for the specification of data sources, the modeling of vocabulary, the generation of a resource discovery tool (RDT), interlinking between the datasets, the publication of multilingual resources, and, eventually, the exploitation of RDF datasets. In the conclusion, the authors outline the main lessons learned. I would recommend this study specifically to users browsing the web for information in languages other than their mother tongue, as well as to the developers of web applications with links in more than one language. In my opinion, the approach seems interesting, although, if I were to pursue such research, I would extend it to more languages to make the conclusions more reliable and representative. Online Computing Reviews Service

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cover image ACM Other conferences

WIMS '13: Proceedings of the 3rd International Conference on Web Intelligence, Mining and Semantics

June 2013

408 pages

ISBN:9781450318501

DOI:10.1145/2479787

Conference Chair:
David Camacho
Autonomous University of Madrid, Spain
,
Program Chairs:
Rajendra Akerkar
Western Norway Research Institute, Norway
,
Maria D. Rodriguez Moreno
University of Alcalá, Spain

Copyright © 2013 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 12 June 2013

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WIMS '13: 3rd International Conference on Web Intelligence, Mining and Semantics

June 12 - 14, 2013

Madrid, Spain

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WIMS '13 Paper Acceptance Rate 28 of 72 submissions, 39%;

Overall Acceptance Rate 140 of 278 submissions, 50%

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Cited By

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https://doi.org/10.4018/978-1-6684-7366-5.ch052
Kaffee LSimperl E(2018)Analysis of Editors' Languages in WikidataProceedings of the 14th International Symposium on Open Collaboration10.1145/3233391.3233965(1-5)Online publication date: 22-Aug-2018
https://dl.acm.org/doi/10.1145/3233391.3233965
BOSQUE-GIL JGRACIA JMONTIEL-PONSODA EGÓMEZ-PÉREZ A(2018)Models to represent linguistic linked dataNatural Language Engineering10.1017/S135132491800034724:6(811-859)Online publication date: 4-Oct-2018
https://doi.org/10.1017/S1351324918000347
(2018)Domain adaptation for ontology localizationWeb Semantics: Science, Services and Agents on the World Wide Web10.1016/j.websem.2015.12.00136:C(23-31)Online publication date: 20-Dec-2018
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Kaffee LSimperl E(2018)The Human Face of the Web of Data: A Cross-sectional Study of LabelsProcedia Computer Science10.1016/j.procs.2018.09.007137(66-77)Online publication date: 2018
https://doi.org/10.1016/j.procs.2018.09.007
Hidalgo-Delgado YEstrada-Nelson RXu BVillazon-Terrazas BLeiva-Mederos ATello A(2017)Methodological Guidelines for Publishing Library Data as Linked Data2017 International Conference on Information Systems and Computer Science (INCISCOS)10.1109/INCISCOS.2017.17(241-246)Online publication date: Nov-2017
https://doi.org/10.1109/INCISCOS.2017.17
Ehrmann MJacquet GSteinberger R(2016)JRC-Names: Multilingual entity name variants and titles as Linked DataSemantic Web10.3233/SW-1602288:2(283-295)Online publication date: 6-Dec-2016
https://doi.org/10.3233/SW-160228
Arcan MDragoni MBuitelaar P(2016)Translating Ontologies in Real-World SettingsThe Semantic Web – ISWC 201610.1007/978-3-319-46547-0_25(241-256)Online publication date: 23-Sep-2016
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Arcan MDragoni MBuitelaar P(2016)ESSOT: An Expert Supporting System for Ontology TranslationNatural Language Processing and Information Systems10.1007/978-3-319-41754-7_6(60-73)Online publication date: 17-Jun-2016
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Vila-Suero DGómez-Pérez AMontiel-Ponsoda EGracia JAguado-de-Cea G(2014)Publishing Linked Data on the Web: The Multilingual DimensionTowards the Multilingual Semantic Web10.1007/978-3-662-43585-4_7(101-117)Online publication date: 19-Aug-2014
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