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

Marion Lamé (1) , Perrine Thuringer-Pittet (2) , Federico Ponchio (3) , Béatrice Markhoff (4) , Emilio M. Sanfilippo (2)

1 LAT - Laboratoire Archéologie et Territoires
2 CESR - Centre d'études supérieures de la Renaissance UMR 7323
3 CNR | ISTI - CNR Istituto di Scienza e Tecnologie dell’Informazione “A. Faedo” [Pisa]
4 BDTLN - Bases de données et traitement des langues naturelles

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.

Domaines: Web; Base de données [cs.DB]; Archéologie et Préhistoire; Histoire

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⟩