NAF and GAF: Linking Linguistic Annotations
Antske Fokkens, Aitor Soroa, Zuhaitz Beloki, C.J. Ockeloen, Germán Rigau, Willem Robert van Hage, Piek T. J. M. Vossen · VU Research Portal · 2014
Interdisciplinary research between computational linguistics and the Semantic Web is increasing. The NLP community makes more and more use of information presented as Linked Data. At the same time, an increasing interest in representing information from text as Linked Data can be observed in the Semantic Web community. It is however not necessarily straightforward to adapt existing NLP modules so that they can read in and produce linguistic annotations in RDF. This paper presents the representations we use in two projects that involve both directions of interaction between NLP and the Semantic Web. In previous work, we have shown how instances represented in RDF can be linked to text and linguistic annotations using GAF. In this paper, we address how we can make further use of Linked Data by using its principles in linguistic annotations.