Heterotoki: non-structured and heterogeneous terminology alignment for Digital Humanities data producers - Archive ouverte HAL Access content directly
Conference Papers Year : 2019

Heterotoki: non-structured and heterogeneous terminology alignment for Digital Humanities data producers

Abstract

In this paper, we present an online communication-driven decision support system to align terms from a dataset with terms of another dataset (standardized controlled vocabulary or not). Heterotoki differs from existing proposals in that it takes place at the interface with humans,inviting the experts to commit on their definitions, so as to either agree to validate the mapping or to propose some enrichment to the terminologies. More precisely, differently to most of existing proposals that support terminology alignment, Heterotokisustains the negotiation of meaning thanks to semantic coordination support within its interface design. This negotiation involves domain experts having produced multiple datasets.
Fichier principal
Vignette du fichier
Heterotoki__Non_Structured_and_Heterogeneous_Terminology_Alignment_for_Digital_Humanities_Data_Producers.pdf (815.69 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-02390095 , version 1 (18-02-2022)

Identifiers

  • HAL Id : hal-02390095 , version 1

Cite

Marion Lamé, Perrine Thuringer-Pittet, Federico Ponchio, Béatrice Markhoff, Emilio M. Sanfilippo. Heterotoki: non-structured and heterogeneous terminology alignment for Digital Humanities data producers. ODOC 2019 @CAiSE 2019, Jun 2019, Rome, Italy. ⟨hal-02390095⟩
121 View
17 Download

Share

Gmail Facebook X LinkedIn More