Heterotoki: Non-Structured and Heterogeneous Terminology Alignment for Digital Humanities Data Producers

Marion Lamé , Perrine Pittet , Federico Ponchio , Béatrice Markhoff , Emilio Sanfilippo (1, 2)

1 CESR - Centre d'études supérieures de la Renaissance UMR 7323
2 Le Studium Loire Valley Institute for Advanced Studies, 45000 Orléans, France

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, Heterotoki sustains the negotiation of meaning thanks to semantic coordination support within its interface design. This negotiation involves domain experts having produced multiple datasets.

Domaines: Sciences de l'Homme et Société

Marion Lamé, Perrine Pittet, Federico Ponchio, Béatrice Markhoff, Emilio Sanfilippo. Heterotoki: Non-Structured and Heterogeneous Terminology Alignment for Digital Humanities Data Producers. Open Data and Ontologies for Cultural Heritage, Jun 2019, Rome, Italy. ⟨hal-02538025⟩