Language resources and linked data: a practical perspective

Resumen

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.