OLiA – Ontologies of Linguistic Annotation

Issue title: Multilingual Linked Open Data

Article type: Research Article

Authors: Chiarcos, Christian^{; *} | Sukhareva, Maria

Affiliations: Applied Computational Linguistics (ACoLi), Department of Computer Science and Mathematics, Goethe-University Frankfurt am Main, Germany. URL: http://acoli.cs.uni-frankfurt.de

Correspondence: [*] Corresponding author. E-mail: [email protected].

Abstract: This paper describes the Ontologies of Linguistic Annotation (OLiA) as one of the data sets currently available as part of Linguistic Linked Open Data (LLOD) cloud. Within the LLOD cloud, the OLiA ontologies serve as a reference hub for annotation terminology for linguistic phenomena on a great band-width of languages, they have been used to facilitate interoperability and information integration of linguistic annotations in corpora, NLP pipelines, and lexical-semantic resources and mediate their linking with multiple community-maintained terminology repositories.

Keywords: Linguistic terminology, grammatical categories, annotation schemes, corpora, NLP, tag sets, interoperability

DOI: 10.3233/SW-140167

Journal: Semantic Web, vol. 6, no. 4, pp. 379-386, 2015