The application of Linked Data technology to the publication of
linguistic data promises to facilitate interoperability of such resources and has
lead to the emergence of the so called Linguistic Linked Data Cloud (LLD) in
which linguistic data is published following the Linked Data principles. Three
essential issues need to be addressed for such data to be easily exploitable by
language technologies: i) appropriate machine-readable licensing information
is needed for each dataset, ii) minimum quality standards for Linguistic
Linked Data need to be defined, and iii) appropriate vocabularies for
publishing Linguistic Linked Data resources are needed. We propose the
notion of Licensed Linguistic Linked Data (3LD) in which different licensing models might co-exist, from totally open to more restrictive licenses through to completely closed datasets.
%0 Generic
%1 20142014towards
%A Vila-Suero, Daniel
%A Rodríguez-Doncel, Víctor
%A Gómez-Pérez, Asunción
%A Cimiano, Philipp
%A McCrae, John
%A Aguado-de Cea, Guadalupe
%C Athens
%D 2014
%E 2014, European Data Forum
%K LiderEU myown
%T 3LD: Towards high quality, industry-ready linguistic Linked Licensed Data
%U http://www.slideshare.net/DanielVilaSuero/3ld-towards-high-quality-industryready-linguistic-linked-licensed-data
%X The application of Linked Data technology to the publication of
linguistic data promises to facilitate interoperability of such resources and has
lead to the emergence of the so called Linguistic Linked Data Cloud (LLD) in
which linguistic data is published following the Linked Data principles. Three
essential issues need to be addressed for such data to be easily exploitable by
language technologies: i) appropriate machine-readable licensing information
is needed for each dataset, ii) minimum quality standards for Linguistic
Linked Data need to be defined, and iii) appropriate vocabularies for
publishing Linguistic Linked Data resources are needed. We propose the
notion of Licensed Linguistic Linked Data (3LD) in which different licensing models might co-exist, from totally open to more restrictive licenses through to completely closed datasets.
@presentation{20142014towards,
abstract = {The application of Linked Data technology to the publication of
linguistic data promises to facilitate interoperability of such resources and has
lead to the emergence of the so called Linguistic Linked Data Cloud (LLD) in
which linguistic data is published following the Linked Data principles. Three
essential issues need to be addressed for such data to be easily exploitable by
language technologies: i) appropriate machine-readable licensing information
is needed for each dataset, ii) minimum quality standards for Linguistic
Linked Data need to be defined, and iii) appropriate vocabularies for
publishing Linguistic Linked Data resources are needed. We propose the
notion of Licensed Linguistic Linked Data (3LD) in which different licensing models might co-exist, from totally open to more restrictive licenses through to completely closed datasets.},
added-at = {2014-11-04T11:19:40.000+0100},
address = {Athens},
author = {Vila-Suero, Daniel and Rodríguez-Doncel, Víctor and Gómez-Pérez, Asunción and Cimiano, Philipp and McCrae, John and Aguado-de Cea, Guadalupe},
biburl = {https://www.bibsonomy.org/bibtex/2e7605b58a8951c6a687e77e3db2a7cfc/vroddon},
editor = {2014, European Data Forum},
interhash = {fd4145c4d1c9160d4f764b0edb6e3e75},
intrahash = {e7605b58a8951c6a687e77e3db2a7cfc},
keywords = {LiderEU myown},
month = {March},
timestamp = {2014-11-04T11:25:21.000+0100},
title = {3LD: Towards high quality, industry-ready linguistic Linked Licensed Data},
url = {http://www.slideshare.net/DanielVilaSuero/3ld-towards-high-quality-industryready-linguistic-linked-licensed-data},
year = 2014
}