Testu historikoak wiki-plataformetan,datu lotu gisa
Publisher: Servicio Editorial = Argitalpen Zerbitzua ; Universidad del País Vasco = Euskal Herriko Unibertsitatea
ISBN: 978-84-9082-949-3
Year of publication: 2025
Pages: 101-116
Congress: CLARIAH- EUS (2. 2023. Donostia)
Type: Conference Paper
Sustainable development goals
infoSDG classification obtained using Aurora SDG artificial intelligence model.
Abstract
In this article, we propose a data model for storing Basque historical texts in a database following the Linked Dataparadigm, using an instance of the Wikibase software as infrastructure. On the one hand, we model entities describingcorpus tokens and token spans on top of the pre-set Wikibase data model. On the other hand, we build aStandard Basque dictionary deploying the Ontolex-Lemon vocabulary, on the same Wikibase instance. Our modelallows for linking tokens and token spans to entries of that dictionary, on lexical entry (lemma) level, lexical senselevel, and inflected form level, while entities of these three levels may carry additional descriptions and furtherlinks. That extends a traditional way of morphosyntactic annotation with literal values towards linking dictionaryelements as entities. In addition to this corpus-lexicon interface, other kinds of annotations such as philologicaland semantic annotations are also modeled.