Special Issue "Towards the Multilingual Web of Data"

A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Artificial Intelligence".

Deadline for manuscript submissions: 15 September 2018

Special Issue Editors

Guest Editor
Dr. John P. McCrae

Insight Centre for Data Analytics, National University of Ireland Galway, Galway, Ireland
Website | E-Mail
Interests: ontologies; lexicography; language resources; data science; linked data; multilingualism; machine learning; digital humanities
Guest Editor
Dr. Jorge Gracia

Ontology Engineering Group, Artificial Intelligence Department, Universidad Politécnica de Madrid, Madrid, Spain
Website | E-Mail
Interests: semantic web; linguistic linked data; multilingualism; query Interpretation; ontology matching

Special Issue Information

Dear Colleagues,

The MDPI Information Journal invites submissions to a special issue on “Towards the Multilingual Web of Data”.

The Web of Data has increasingly become a space where concepts are described not only with logic and ontologies but also with linguistic information in the form of multilingual lexicons, terminologies, and thesauri. In particular, this has led to the creation of a growing cloud of linguistically-linked open data, which bridges the world of ontologies with dictionaries, corpora and other linguistic resources. This raises several challenges such as ontology localisation, cross-lingual question answering, cross-lingual ontology and data matching, representation of lexical information on the Web of Data, etc.

Furthermore, NLP and machine learning for linked data can benefit from exploiting multilingual language resources, such as annotated corpora, wordnets, bilingual dictionaries, etc., if they are themselves formally represented and linked by following the linked data principles. A critical mass of language resources as linked data on the Web is leading to a new generation of linked, data-aware NLP techniques and tools, which, in turn, will serve as basis for a richer, multilingual Web.

This Special Issue is concerned with groundbreaking topics at the interface of the Semantic Web, language resources and NLP, with particular emphasis on multilingual aspects.

Topics of call

  • Linguistic Linked Open Data
  • NLP on the Semantic Web
  • Multilinguality and semantics
  • Best practices for multilingual linked data
  • Validation, quality and legal issues for multilingual linked data
  • Language resources published as linked data
  • Ontologies, terminologies and models for multilingual linked data
  • Publishing language resources as linked data using language description models such as OntoLex-lemon
  • Cross-lingual information access, search and retrieval
  • NLP and machine learning approaches for the Semantic Web and Linked Data

Papers’ length has to be 9–15 pages and should be formatted according to the MDPI template. Complete instructions for authors can be found at:

http://www.mdpi.com/journal/information/instructions

Important Dates
Submission: 15 December 2017
Notification: January 2018

Dr. John P. McCrae
Dr. Jorge Gracia
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 850 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Linked Data
  • Semantic Web
  • Linguistic Linked Data
  • Multilinguality
  • Language Resources
  • Lexicography
  • Ontology-Lexicon Interface
  • Natural Language Processing
  • Ontologies
  • Terminologies

Published Papers (2 papers)

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Research

Open AccessFeature PaperArticle Language-Agnostic Relation Extraction from Abstracts in Wikis
Information 2018, 9(4), 75; https://doi.org/10.3390/info9040075
Received: 5 February 2018 / Revised: 16 March 2018 / Accepted: 28 March 2018 / Published: 29 March 2018
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Abstract
Large-scale knowledge graphs, such as DBpedia, Wikidata, or YAGO, can be enhanced by relation extraction from text, using the data in the knowledge graph as training data, i.e., using distant supervision. While most existing approaches use language-specific methods (usually for English), we
[...] Read more.
Large-scale knowledge graphs, such as DBpedia, Wikidata, or YAGO, can be enhanced by relation extraction from text, using the data in the knowledge graph as training data, i.e., using distant supervision. While most existing approaches use language-specific methods (usually for English), we present a language-agnostic approach that exploits background knowledge from the graph instead of language-specific techniques and builds machine learning models only from language-independent features. We demonstrate the extraction of relations from Wikipedia abstracts, using the twelve largest language editions of Wikipedia. From those, we can extract 1.6 M new relations in DBpedia at a level of precision of 95%, using a RandomForest classifier trained only on language-independent features. We furthermore investigate the similarity of models for different languages and show an exemplary geographical breakdown of the information extracted. In a second series of experiments, we show how the approach can be transferred to DBkWik, a knowledge graph extracted from thousands of Wikis. We discuss the challenges and first results of extracting relations from a larger set of Wikis, using a less formalized knowledge graph. Full article
(This article belongs to the Special Issue Towards the Multilingual Web of Data)
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Open AccessArticle Multilingual and Multiword Phenomena in a lemon Old Occitan Medico-Botanical Lexicon
Information 2018, 9(3), 52; https://doi.org/10.3390/info9030052
Received: 31 January 2018 / Revised: 12 February 2018 / Accepted: 24 February 2018 / Published: 28 February 2018
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Abstract
This article illustrates the progresses made in representing a multilingual and multi-alphabetical Old Occitan medico-botanical lexicon in the context of the project Dictionnaire de Termes Médico-botaniques de l’Ancien Occitan (DiTMAO). The chosen lexical model of reference is lemon, which has been extended
[...] Read more.
This article illustrates the progresses made in representing a multilingual and multi-alphabetical Old Occitan medico-botanical lexicon in the context of the project Dictionnaire de Termes Médico-botaniques de l’Ancien Occitan (DiTMAO). The chosen lexical model of reference is lemon, which has been extended accordingly to some specific linguistic and lexical features of the lexicon. In particular, issues and solutions about the modeling of multilingual and multiword phenomena are discussed, as the way they are managed through LexO, a web editor developed in the context of the project. Full article
(This article belongs to the Special Issue Towards the Multilingual Web of Data)
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Figure 1

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