3LD: Towards high quality, industry-ready Linguistic Linked Linguistic Data
Daniel Vila-Suero, Victor Rodrı́guez-Doncel, Asuncíon Gómez-Pérez, Philipp Cimiano, John Philip McCrae, Guadalupe Aguado-de-Cea · PUB – Publications at Bielefeld University (Bielefeld University) · 2014
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.