Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/27900
Title: An OWL ontology for ISO-based discourse marker annotation
Authors: Chiarcos, Christian
Silvano, Purificação
Damova, Mariana
Valūnaitė Oleškevičienė, Giedrė
Liebeskind, Chaya
Trajanov, Dimitar 
Truica, Ciprian-Octavian
Apostol, Elena-Simona
Bączkowska, Anna
Issue Date: 2022
Journal: LLOD Approaches for Language Data Research and Management, LLODREAM2022: International Scientific Interdisciplinary Conference: abstract book, September 21-22, 2022. Vilnius: Mykolas Romeris university, 2022. ISBN 9786094880414.
Abstract: Purpose: Discourse markers are linguistic cues that indicate how an utterance relates to the discourse context and what role it plays in conversation. The authors are preparing an annotated corpus in nine languages, and specifically aim to explore the role of Linguistic Linked Open Data (/LLOD) technologies in the process, i.e., the application of web standards such as RDF and the Web Ontology Language (OWL) for publishing and integrating data. We demonstrate the advantages of this approach.
URI: http://hdl.handle.net/20.500.12188/27900
Appears in Collections:Faculty of Computer Science and Engineering: Journal Articles

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