A Formal Model to Support Discourse Semantic Landscape Analysis

Isabelle Linden; Bruno Dumas; Anne Wallemacq

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Paper

A Formal Model to Support Discourse Semantic Landscape Analysis

Topics: Semi-Structured and Unstructured Data; Text Analytics

In Proceedings of the 11th International Conference on Data Science, Technology and Applications DATA - Volume 1, 118-126, 2022 , Lisbon, Portugal

Authors: Isabelle Linden ; Bruno Dumas and Anne Wallemacq

Affiliation: Namur Digital Institute (NADI), University of Namur, Belgium

Keyword(s): Discourse Analysis, Semantic Landscape, Text Formal Model.

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.

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Paper citation in several formats:

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 - DATA; ISBN 978-989-758-583-8; ISSN 2184-285X, SciTePress, pages 118-126. DOI: 10.5220/0011298300003269

@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 - DATA},
year={2022},
pages={118-126},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011298300003269},
isbn={978-989-758-583-8},
issn={2184-285X},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Data Science, Technology and Applications - DATA
TI - A Formal Model to Support Discourse Semantic Landscape Analysis
SN - 978-989-758-583-8
IS - 2184-285X
AU - Linden, I.
AU - Dumas, B.
AU - Wallemacq, A.
PY - 2022
SP - 118
EP - 126
DO - 10.5220/0011298300003269
PB - SciTePress