A Formal Model to Support Discourse Semantic Landscape Analysis

Isabelle Linden, Bruno Dumas, Anne Wallemacq

2022

Abstract

Discourse Analysis is a broadly spread methodology in human and social sciences. The Evoq Software (Clarinval et al., 2018) has been developed to offer advanced support for a deep semantic analysis of discourse by providing intermediary transposition tools that allow the exploration of the semantic landscape underlying a discourse from multiple angles. This paper presents the formal knowledge model to support these functionalities development and ensure a strong coherence between multiple visualisations seen as so many intermediary transpositions of the same object.

Paper Citation

in Harvard Style

Linden I., Dumas B. and Wallemacq A. (2022). A Formal Model to Support Discourse Semantic Landscape Analysis. In Proceedings of the 11th International Conference on Data Science, Technology and Applications - Volume 1: DATA, ISBN 978-989-758-583-8, pages 118-126. DOI: 10.5220/0011298300003269

in Bibtex Style

@conference{data22,
author={Isabelle Linden and Bruno Dumas and Anne Wallemacq},
title={A Formal Model to Support Discourse Semantic Landscape Analysis},
booktitle={Proceedings of the 11th International Conference on Data Science, Technology and Applications - Volume 1: DATA,},
year={2022},
pages={118-126},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011298300003269},
isbn={978-989-758-583-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Conference on Data Science, Technology and Applications - Volume 1: DATA,
TI - A Formal Model to Support Discourse Semantic Landscape Analysis
SN - 978-989-758-583-8
AU - Linden I.
AU - Dumas B.
AU - Wallemacq A.
PY - 2022
SP - 118
EP - 126
DO - 10.5220/0011298300003269