Paper Info
Title
Language Resources and Linked Data: A Practical Perspective.
Abstract
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.
Year
DOI
Venue
2014
10.1007/978-3-319-17966-7_1
Lecture Notes in Artificial Intelligence
Keywords
Field
DocType
Linked data,Language resources,Multilingual web of data
Linguistic linked open data,Rule-based machine translation,World Wide Web,Computer science,Linked data,Artificial intelligence,Natural language processing,Word-sense disambiguation,Cloud computing
Conference
Volume
ISSN
Citations 
8982
0302-9743
0
PageRank 
References 
Authors
0.34
14
6
Name
Order
Citations
PageRank
Jorge Gracia148838.46
Daniel Vila-Suero2544.91
John Philip McCrae37924.81
Tiziano Flati4544.01
Ciro Baron5953.81
Milan Dojchinovski6428.05