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Building an Owl-Ontology for Representing, Linking and Querying SemAF Discourse Annotations

Chiarcos, Christian (author)
Univ Augsburg, Applied Computat Linguist, Augsburg, Germany.
Silvano, Purificacão (author)
Univ Porto, Fac Arts & Humanities, Ctr Linguist, Porto, Portugal.
Damova, Mariana (author)
Mozaika Ltd, Sofia, Bulgaria.
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Valunaite Oleskeviciene, Giedre (author)
Mykolas Romeris Univ, Vilnius, Lithuania.
Liebeskind, Chaya (author)
Jerusalem Coll Technol, Jerusalem, Israel.
Trajanov, Dimitar (author)
Ss Cyril & Methodius Univ, Dept Informat Syst & Network Technol, Fac Comp Sci & Engn, Skopje, North Macedonia.
Truică, Ciprian-Octavian (author)
Uppsala universitet,Institutionen för informationsteknologi
Apostol, Elena-Simona (author)
Univ Politeh Bucharest, Fac Automat Control & Comp, Bucharest, Romania.
Baczkowska, Anna (author)
Inst English & Amer Studies, Eviden Big Data & Secur, Debrecen, Hungary.
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Univ Augsburg, Applied Computat Linguist, Augsburg, Germany Univ Porto, Fac Arts & Humanities, Ctr Linguist, Porto, Portugal. (creator_code:org_t)
Institute of Croatian Language and Linguistics, 2023
2023
English.
In: Rasprave Instituta za hrvatski jezik i jezikoslovlje. - : Institute of Croatian Language and Linguistics. - 1331-6745 .- 1849-0379. ; 49:1, s. 117-136
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  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Linguistic Linked Open Data (LLOD) are technologies that provide a powerful instrument for representing and interpreting language phenomena on a web-scale. The main objective of this paper is to demonstrate how LLOD technologies can be applied to represent and annotate a corpus composed of multiword discourse markers, and what the effects of this are. In particular, it is our aim to apply semantic web standards such as RDF and OWL for publishing and integrating data. We present a novel scheme for discourse annotation that combines ISO standards describing discourse relations and dialogue acts - ISO DR-Core (ISO 24617-8) and ISO-Dialogue Acts (ISO 24617-2) in 9 languages (cf. Silvano and Damova 2022; Silvano et al. 2022). We develop an OWL ontology to formalize that scheme, provide a newly annotated dataset and link its RDF edition with the ontology. Consequently, we describe the conjoint querying of the ontology and the annotations by means of SPARQL, the standard query language for the web of data. The ultimate result is that we are able to perform queries over multiple, interlinked datasets with complex internal structure. This is a first, but essential step, in developing novel, powerful, and groundbreaking means for the corpus-based study of multilingual discourse, communication analysis, or attitudes discovery.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Språkteknologi (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Language Technology (hsv//eng)
NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)

Keyword

LLOD
OWL ontology
RDF
discourse markers
ISO standard
parallel corpus

Publication and Content Type

ref (subject category)
art (subject category)

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