Contributo in atti di convegno, 2019, ENG

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

Lame M.; Pittet P.; Ponchio F.; Markhoff B.; Sanfilippo E.M.

Laboratoire Archéologie et Territoires, CITERES, Université de Tours, Tours, France; Intelligence des Patrimoines, CESR, Université de Tours, Tours, France; CNR-ISTI, Pisa, Italy; LIFAT EA 6300, Université de Tours, Blois, France; Intelligence des Patrimoines - Le Studium, CESR, Université de Tours, Tours, 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.

ODOCH 2019 - Open Data and Ontologies for Cultural Heritage, pp. 37–48, Rome, Italy, 3 June, 2019

Keywords

Artificial intelligence, Decision support systems, Ontology, Semantics, Terminology, Digital humanities, Open data

CNR authors

Ponchio Federico

CNR institutes

ISTI – Istituto di scienza e tecnologie dell'informazione "Alessandro Faedo"