The ISOcat Registry Reloaded

Zinn, Claus; Hoppermann, Christina; Trippel, Thorsten

doi:10.1007/978-3-642-30284-8_26

Cited by 3 publications

(2 citation statements)

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“…The term /address/ could then be linked to PostalAddress, and the aforementioned terms to its properties. In Zinn, Hoppermann, and Trippel (2012), the authors propose mapping some of the entries of the CLARIN concept registry to the schema . org ontology, in part to increase CMDI's interoperability with regard to the Semantic Web community, and in part to support ongoing curation efforts within the CMDI community.…”

Section: Link To Existing Vocabulariesmentioning

confidence: 99%

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Development of Linguistic Linked Open Data Resources for Collaborative Data-Intensive Research in the Language Sciences

2020

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We thank William J. Badecker, NSF Linguistics Program director, whose advice has been invaluable during all stages of this project, and Marc Lowenthal and Anthony Zannino at MIT Press, who guided us to publication. We thank Amy Brand, director of MIT Press, whose pursuit of the development of scholarly communication in the digital age provided support for our project. The Cornell University Library, through Oya Rieger, provided continual advice and support, as well as a critical dimension of library-researcher relations, continuing the early vision of previous Mann Library director, Janet McCue. Emily Bernardski provided key support and coordination for the workshop, as did Carissa Kang and Jonathan Masci, our student support team. Our editors Michelle Melanson and Rebecca Rich Goldweber provided invaluable assistance in volume publication. James Gair provided continual support throughout.

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Section: Link To Existing Vocabulariesmentioning

confidence: 99%

“…org or to vocabularies from other well-known concept registries or metadata schemes. Here, the RELcat relation strategy should be used to formalize the mapping described in Zinn, Hoppermann, and Trippel (2012) and to enter other term equivalencies. Community consensus could be marked by attaching a status to each mapping.…”

Section: Link To Existing Vocabulariesmentioning

confidence: 99%

Development of Linguistic Linked Open Data Resources for Collaborative Data-Intensive Research in the Language Sciences

2020

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The CLARIN-NL Data Curation Service: Bringing Data to the Foreground

Oostdijk¹,

Heuvel²,

Treurniet³

2013

IJDC

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After decades in which a great deal of effort was spent on the creation of resources, there are currently several initiatives worldwide that aim to create an interoperable, sustainable research infrastructure. An integral part of such an infrastructure constitutes the resources (data and tools) which researchers in the various disciplines employ. Whether the infrastructure will be successful in supporting the needs of the research communities it intends to cater for depends on a number of factors. One factor is that resources that are or could be relevant to the wider research community are made visible through this infrastructure and, to the greatest extent possible, accessible and usable. In practice, the durable availability of resources is often not properly regulated within research projects.CLARIN-NL is directed at creating an interoperable language resources infrastructure for the humanities in the Netherlands. The Data Curation Service was established in order to salvage language resources in this field that are threatened to be lost. In the CLARIN context, a great deal of attention is given to standards, formats and intellectual property rights. Consequently, the Data Curation Service (DCS) has a role as mediator in bringing researchers in the field of humanities and existing data centres closer together.This article consists of two parts: the first part provides the background to the work of the DCS while the second part illustrates the work of the DCS by describing the actual curation of a collection of language learner data.

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OLiA – Ontologies of Linguistic Annotation

Chiarcos

Sukhareva

2015

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This paper describes the Ontologies of Linguistic Annotation (OLiA) as one of the data sets currently available as part of Linguistic Linked Open Data (LLOD) cloud. The OLiA ontologies represent a repository of annotation terminology for various linguistic phenomena on a great band-width of languages, they have been used to facilitate interoperability and information integration of linguistic annotations in corpora, NLP pipelines, and lexical-semantic resources.

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The ISOcat Registry Reloaded

Cited by 3 publications

References 1 publication

Development of Linguistic Linked Open Data Resources for Collaborative Data-Intensive Research in the Language Sciences

Development of Linguistic Linked Open Data Resources for Collaborative Data-Intensive Research in the Language Sciences

The CLARIN-NL Data Curation Service: Bringing Data to the Foreground

OLiA – Ontologies of Linguistic Annotation

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