NAF and GAF: Linking Linguistic Annotations

A.S. Fokkens, A. Soroa, Z. Beloki, C.J. Ockeloen, G. Rigau, W.R. van Hage, P.T.J.M. Vossen

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review


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.
Original languageEnglish
Title of host publicationProceedings of the 10th Joint ACL – ISO Workshop on Interoperable Semantic Annotation
Place of PublicationReykjavik, Iceland
Publication statusPublished - 2014

Bibliographical note

NAF and GAF: Linking Linguistic Annotations

Fingerprint Dive into the research topics of 'NAF and GAF: Linking Linguistic Annotations'. Together they form a unique fingerprint.

Cite this