Publishing Linked Data on the Web: The Multilingual Dimension

Vila-Suero, Daniel; Gómez-Pérez, Asuncíon; Montiel-Ponsoda, Elena; Gracia, Jorge; Aguado-de-Cea, Guadalupe

doi:10.1007/978-3-662-43585-4_7

Cited by 14 publications

(13 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Some guidelines have been proposed to produce and publish high quality multilingual LD on the Web [17]. As a further step, the W3C Best Practices for Multilingual Linked Open Data (BPMLOD) community group 13 has recently published specific guidelines for generating and publishing certain types of language re-sources as LD (e.g., bilingual dictionaries, WordNets, terminologies in TBX, etc).…”

Section: Rdf Generation Methodologymentioning

confidence: 99%

The apertium bilingual dictionaries on the web of data

Gracia

Villegas

Gómez-Pérez

et al. 2018

Self Cite

View full text Add to dashboard Cite

Bilingual electronic dictionaries contain collections of lexical entries in two languages, with explicitly declared translation relations between such entries. Nevertheless, they are typically developed in isolation, in their own formats and accessible through proprietary APIs. In this paper we propose the use of Semantic Web techniques to make translations available on the Web to be consumed by other semantic enabled resources in a direct manner, based on standard languages and query means. In particular, we describe the conversion of the Apertium family of bilingual dictionaries and lexicons into RDF (Resource Description Framework) and how their data have been made accessible on the Web as linked data. As a result, all the converted dictionaries (many of them covering under-resourced languages) are connected among them and can be easily traversed from one to another to obtain, for instance, translations between language pairs not originally connected in any of the original dictionaries.

show abstract

Section: Rdf Generation Methodologymentioning

confidence: 99%

The apertium bilingual dictionaries on the web of data

Gracia

Villegas

Gómez-Pérez

et al. 2018

Self Cite

View full text Add to dashboard Cite

show abstract

“…In 2011, Villazón-Terrazas et al proposed methodological guidelines for publishing Government Linked Data, with the guidelines taking an iterative approach [22] where Specification refers to the identification and analysis of the data sources, and URI design; Modelling refers to the identification and creation of domain vocabularies to use, as well as ontology localisation; Generation refers to the transformation of the data sources to RDF, the identification of the languages used, and the consideration of encoding issues; Linking refers to interlinking with external resources; and Publication refers to the publication of the dataset and its metadata [23] (pp. 103-115).…”

Section: Methodological Guidelines For the Construction Of A Linguistmentioning

confidence: 99%

“…[29][30]. Although RDF, RDF Schema (RDFS), OWL, and Simple Knowledge Organization System (SKOS) can associate labels with ontology elements, the linguistic information thereof is not able to be described; however, SKOS does allow for further typology, for example, identifying a label as "preferred" [23] (p. 110), [35] (pp. [29][30].…”

Section: Step 2: Select the Model With Which To Describe The Linguistmentioning

confidence: 99%

Conversion of the English-Xhosa Dictionary for Nurses to a Linguistic Linked Data Framework

Gillis-Webber

2018

Information

View full text Add to dashboard Cite

The English-Xhosa Dictionary for Nurses (EXDN) is a bilingual, unidirectional printed dictionary in the public domain, with English and isiXhosa as the language pair. By extending the digitisation efforts of EXDN from a human-readable digital object to a machine-readable state, using Resource Description Framework (RDF) as the data model, semantically interoperable structured data can be created, thus enabling EXDN's data to be reused, aggregated and integrated with other language resources, where it can serve as a potential aid in the development of future language resources for isiXhosa, an under-resourced language in South Africa. The methodological guidelines for the construction of a Linguistic Linked Data framework (LLDF) for a lexicographic resource, as applied to EXDN, are described, where an LLDF can be defined as a framework: (1) which describes data in RDF, (2) using a model designed for the representation of linguistic information, (3) which adheres to Linked Data principles, and (4) which supports versioning, allowing for change. The result is a bidirectional lexicographic resource, previously bounded and static, now unbounded and evolving, with the ability to extend to multilingualism.Information 2018, 9, 274 2 of 30 into a simple digital resource, typically as images in JPEG format. However, by retrodigitising the artefact, converting it from a simple digital resource to a complex digital resource, it has the potential to become machine-interoperable. The form of complex digital objects can vary, with examples including: a collection of XML files; the same content but as HTML files with semantic markup to describe the content therein; as a dataset stored in a relational database or as Resource Description Framework (RDF). For the latter example, RDF "is a framework for representing information in the Web", published by the World Wide Web Consortium (W3C), where data is described in short statements, called triples, which are of the form subject-predicate-object [9]. A subject can be an internationalised resource identifier (IRI) or a blank node; an object can be an IRI, blank node, or a literal; and a predicate can be an IRI only [9].The lexical entry Abdomen can be expressed in the following short statements:Abdomen is a lexical entry.Abdomen is a word.Abdomen is a noun.Abdomen is an English term.Using Turtle syntax, a human-readable serialisation of RDF, the same short statements can be described in RDF: SubjectPredicate Object :abdomen :isA :lexicalEntry ; :isA :word ; :isA :noun ; :isLanguage :English .These short statements are visualised in Figure 1, using node-edge-node structure. Information 2018, 9, x FOR PEER REVIEW 2 of 29Despite EXDN being published more than seventy-five years ago, as a language resource for an under-resourced indigenous African language, its content is still of value [1] (p. 1). EXDN is in print form, bounded and static, and by digitising the dictionary, it is converted from an analogue resource into a simple digital resource, typically as images in JPEG format. Howev...

show abstract

“…These guidelines are meant to provide a set of tasks and best practices to generate and make available high quality LD. More recently, Vila et al [19] proposed general guidelines for generating multilingual LD. In addition, the W3C Best Practices for Multilingual Linked Open Data community group 5 has recently published specific guidelines for generating and publishing LD out of several types of language resources (e.g., bilingual dictionaries, WordNets, terminologies in TBX, etc).…”

Section: Methodology For Multilingual Linguistic Linked Data Generationmentioning

confidence: 99%

“…Hence, it is not necessary to download, setup and run the NIF software making possible the creation of a small NIF corpus using an available NIF-WS service. Some of the implementations which are already exposed as Web services includes Stanford NLP 19 , DBpedia Spotlight, Entityclassifier.eu 20 , Snowball Stemmer and OpenNLP 21 . The following URL exemplifies the annotation of the string "I'm connected."…”

Section: Methodology For Multilingual Linguistic Linked Data Generationmentioning

confidence: 99%

Language Resources and Linked Data: A Practical Perspective

Gracia

Vila-Suero

McCrae

et al. 2015

Lecture Notes in Computer Science

Self Cite

View full text Add to dashboard Cite

Abstract. Recently, experts and practitioners in language resources have started recognizing the benefits of the linked data (LD) paradigm for the representation and exploitation of linguistic data on the Web. The adoption of the LD principles is leading to an emerging ecosystem of multilingual open resources that conform to the Linguistic Linked Open Data Cloud, in which datasets of linguistic data are interconnected and represented following common vocabularies, which facilitates linguistic information discovery, integration and access. In order to contribute to this initiative, this paper summarizes several key aspects of the representation of linguistic information as linked data from a practical perspective. The main goal of this document is to provide the basic ideas and tools for migrating language resources (lexicons, corpora, etc.) as LD on the Web and to develop some useful NLP tasks with them (e.g., word sense disambiguation). Such material was the basis of a tutorial imparted at the EKAW'14 conference, which is also reported in the paper.

show abstract

Publishing Linked Data on the Web: The Multilingual Dimension

Cited by 14 publications

References 21 publications

The apertium bilingual dictionaries on the web of data

The apertium bilingual dictionaries on the web of data

Conversion of the English-Xhosa Dictionary for Nurses to a Linguistic Linked Data Framework

Language Resources and Linked Data: A Practical Perspective

Contact Info

Product

Resources

About