Skip to Main content Skip to Navigation
Conference papers

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, Heterotoki sustains the negotiation of meaning thanks to semantic coordination support within its interface design. This negotiation involves domain experts having produced multiple datasets.
Document type :
Conference papers
Complete list of metadatas

Cited literature [29 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-02538025
Contributor : Le Studium <>
Submitted on : Thursday, April 9, 2020 - 10:48:28 AM
Last modification on : Friday, October 23, 2020 - 4:40:47 PM

File

Publication 5.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-02538025, version 1

Collections

Citation

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⟩

Share

Metrics

Record views

58

Files downloads

39