Multilingual variation in the context of Linked Data

Resumen

In this paper we present a revisited classification
of term variation in the light of the
Linked Data initiative. Linked Data refers to
a set of best practices for publishing and connecting
structured data on the Web with the
idea of transforming it into a global graph.
One of the crucial steps of this initiative is
the linking step, in which datasets in one or
more languages need to be linked or connected
with one another. We claim that the linking
process would be facilitated if datasets
are enriched with lexical and terminological
information. Being that the final aim, we
propose a classification of lexical, terminological
and semantic variants that will become
part of a model of linguistic
descriptions that is currently being proposed
within the framework of the W3C Ontology-
Lexica Community Group to enrich ontologies
and Linked Data vocabularies. Examples
of modeling solutions of the different types
of variants are also provided.